高等数学数据分析英文试题GMAT题库 (3)

高等数学数据分析英文试题GMAT题库 (3)
高等数学数据分析英文试题GMAT题库 (3)

Simple Linear Regression 393 CHAPTER 12: SIMPLE LINEAR REGRESSION

1.The Y-intercept (b0) represents the

a)predicted value of Y when X = 0.

b)change in estimated average Y per unit change in X.

c)predicted value of Y.

d)variation around the sample regression line.

ANSWER:

a

TYPE: MC DIFFICULTY: Easy

KEYWORDS: intercept, interpretation

2.The Y-intercept (b0) represents the

a)estimated average Y when X = 0.

b)change in estimated average Y per unit change in X.

c)predicted value of Y.

d)variation around the sample regression line.

ANSWER:

a

TYPE: MC DIFFICULTY: Easy

KEYWORDS: intercept, interpretation

3.The slope (b1) represents

a)predicted value of Y when X = 0.

b)the estimated average change in Y per unit change in X.

c)the predicted value of Y.

d)variation around the line of regression.

ANSWER:

b

TYPE: MC DIFFICULTY: Easy

KEYWORDS: slope, interpretation

4.The least squares method minimizes which of the following?

a)SSR

b)SSE

c)SST

d)All of the above

ANSWER:

b

TYPE: MC DIFFICULTY: Difficult

KEYWORDS: least squares, properties

394 Simple Linear Regression

TABLE 12-1

A large national bank charges local companies for using their services. A bank official reported the results of a regression analysis designed to predict the bank’s charges (Y ) -- measured in dollars per month -- for services rendered to local companies. One independent variable used to predict service charge to a company is the company’s sales revenue (X ) -- measured in millions of dollars. Data for 21 companies who use the bank’s services were used to fit the model:

E (Y )=β0+β1X

The results of the simple linear regression are provided below.

2,70020, 65, two-tailed value 0.034 (for testing )YX Y X S p β1

=?+==

5. Referring to Table 12-1, interpret the estimate of β0, the Y -intercept of the line. a) All companies will be charged at least $2,700 by the bank.

b) There is no practical interpretation since a sales revenue of $0 is a nonsensical value. c) About 95% of the observed service charges fall within $2,700 of the least squares line. d) For every $1 million increase in sales revenue, we expect a service charge to decrease

$2,700.

ANSWER: b

TYPE: MC DIFFICULTY: Moderate KEYWORDS: intercept, interpretation

6. Referring to Table 12-1, interpret the estimate of σ, the standard deviation of the random error

term (standard error of the estimate) in the model.

a) About 95% of the observed service charges fall within $65 of the least squares line. b) About 95% of the observed service charges equal their corresponding predicted values. c) About 95% of the observed service charges fall within $130 of the least squares line.

d) For every $1 million increase in sales revenue, we expect a service charge to increase $65.

ANSWER: c

TYPE: MC DIFFICULTY: Difficult

KEYWORDS: standard error of the estimate, interpretation

7. Referring to Table 12-1, interpret the p -value for testing whether β1 exceeds 0.

a) There is sufficient evidence (at the α = 0.05) to conclude that sales revenue (X ) is a

useful linear predictor of service charge (Y ).

b) There is insufficient evidence (at the α = 0.10) to conclude that sales revenue (X ) is a

useful linear predictor of service charge (Y ).

c) Sales revenue (X ) is a poor predictor of service charge (Y ).

d) For every $1 million increase in sales revenue, we expect a service charge to increase

$0.034.

ANSWER: a

TYPE: MC DIFFICULTY: Moderate KEYWORDS: p -value, interpretation

8. Referring to Table 12-1, a 95% confidence interval for β1 is (15, 30). Interpret the interval.

Simple Linear Regression 395

a)We are 95% confident that the mean service charge will fall between $15 and $30 per

month.

b)We are 95% confident that the sales revenue (X) will increase between $15 and $30

million for every $1 increase in service charge (Y).

c)We are 95% confident that average service charge (Y) will increase between $15 and $30

for every $1 million increase in sales revenue (X).

d)At the α = 0.05 level, there is no evidence of a linear relationship between service

charge (Y) and sales revenue (X).

ANSWER:

c

TYPE: MC DIFFICULTY: Moderate

KEYWORDS: confidence interval, interpretation

TABLE 12-2

A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of

their product. To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:

City Price ($) Sales

Falls 1.30 100

River

Hudson 1.60 90

Ellsworth 1.80 90

Prescott 2.00 40

Elm 2.40 38

Rock

Stillwater 2.90 32

9.Referring to Table 12-2, what is the estimated slope parameter for the candy bar price and sales

data?

a)161.386

b)0.784

c)– 3.810

d)– 48.193

ANSWER:

d

TYPE: MC DIFFICULTY: Moderate

KEYWORDS: slope, estimation

10.Referring to Table 12-2, what is the estimated average change in the sales of the candy bar if

price goes up by $1.00?

a)161.386

b)0.784

c)– 3.810

d)– 48.193

ANSWER:

d

TYPE: MC DIFFICULTY: Moderate

KEYWORDS: slope, interpretation

11.Referring to Table 12-2, what is the coefficient of correlation for these data?

396 Simple Linear Regression

a) – 0.8854 b) – 0.7839 c) 0.7839 d) 0.8854

ANSWER: a

TYPE: MC DIFFICULTY: Moderate

KEYWORDS: coefficient of correlation, estimation

12. Referring to Table 12-2, what is the percentage of the total variation in candy bar sales explained

by the regression model?

a) 100% b) 88.54% c) 78.39% d) 48.19%

ANSWER: c

TYPE: MC DIFFICULTY: Moderate

KEYWORDS: coefficient of determination, interpretation

13. Referring to Table 12-2, what percentage of the total variation in candy bar sales is explained by

prices?

a) 100% b) 88.54% c) 78.39% d) 48.19%

ANSWER: c

TYPE: MC DIFFICULTY: Moderate

KEYWORDS: coefficient of determination, interpretation

14. Referring to Table 12-2, what is the standard error of the estimate, S YX , for the data?

a) 0.784 b) 0.885 c) 12.650 d) 16.299

ANSWER: d

TYPE: MC DIFFICULTY: Moderate

KEYWORDS: standard error of the estimate, estimation

15. Referring to Table 12-2, what is the standard error of the regression slope estimate, ?

1b S

Simple Linear Regression 397

a)0.784

b)0.885

c)12.650

d)16.299

ANSWER:

c

TYPE: MC DIFFICULTY: Moderate

KEYWORDS: standard error, slope

16.Referring to Table 12-2, what is ∑(X–X 2 for these data?

a)0

b) 1.66

c) 2.54

d)25.66

ANSWER:

b

TYPE: MC DIFFICULTY: Moderate

KEYWORDS: sum of squares

17.Referring to Table 12-2, to test that the regression coefficient, β1, is not equal to 0, what would

be the critical values? Use α = 0.05.

±

a) 2.5706

±

b) 2.7764

±

c) 3.1634

±

d) 3.4954

ANSWER:

b

TYPE: MC DIFFICULTY: Difficult

KEYWORDS: t test on slope, critical value

18.Referring to Table 12-2, to test whether a change in price will have any impact on average sales,

what would be the critical values? Use α = 0.05.

±

a) 2.5706

±

b) 2.7765

±

c) 3.1634

±

d) 3.4954

ANSWER:

b

TYPE: MC DIFFICULTY: Difficult

EXPLANATION: This is a test for β1 is not equal to 0.

KEYWORDS: t test on slope, critical value

19.Referring to Table 12-2, if the price of the candy bar is set at $2, the estimated average sales will

be

398 Simple Linear Regression

a)30

b)65

c)90

d)100

ANSWER:

b

TYPE: MC DIFFICULTY: Moderate

KEYWORDS: estimation of mean values

20.Referring to Table 12-2, if the price of the candy bar is set at $2, the predicted sales will be

a)30

b)65

c)90

d)100

ANSWER:

b

TYPE: MC DIFFICULTY: Moderate

KEYWORDS: prediction of individual values

21.True of False: The Chancellor of a university has commissioned a team to collect data on

students’ GPAs and the amount of time they spend bar hopping every week (measured in

minutes). He wants to know if imposing much tougher regulations on all campus bars to make it more difficult for students to spend time in any campus bar will have a significant impact on

general students' GPAs. His team should use a t test on the slope of the population regression.

ANSWER:

True

TYPE: TF DIFFICULTY: Moderate

KEYWORDS: t test on slope

22.The residual represents the discrepancy between the observed dependent variable and its

_______ value.

ANSWER:

predicted or estimated average

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: estimation of mean values, prediction of individual values

TABLE 12-3

Simple Linear Regression 399 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place. She takes a random sample of 4 students. For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation. These data are presented in the table below.

JobOffer

Student CoopJobs

4

1 1

2 2

6

3

3 1

1

4 0

23.Referring to Table 12-3, set up a scatter diagram.

ANSWER:

KEYWORDS: scatter plot

24.Referring to Table 12-3, the least squares estimate of the slope is __________.

ANSWER:

2.50

TYPE: FI DIFFICULTY: 2 Moderate

KEYWORDS: slope, estimation, least squares

25.Referring to Table 12-3, the least squares estimate of the Y-intercept is __________.

ANSWER:

1.00

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: intercept, estimation, least squares

26.Referring to Table 12-3, the prediction for the number of job offers for a person with 2 coop jobs

is __________.

400 Simple Linear Regression

ANSWER:

6

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: prediction of individual values

27.Referring to Table 12-3, the total sum of squares (SST) is __________.

ANSWER:

13.0

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: sum of squares

28.Referring to Table 12-3, the regression sum of squares (SSR) is __________.

ANSWER:

12.5

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: sum of squares

29.Referring to Table 12-3, the error or residual sum of squares (SSE) is __________.

ANSWER:

0.50

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: sum of squares

30.Referring to Table 12-3, the coefficient of determination is __________.

ANSWER:

0.962

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: coefficient of determination

31. Referring to Table 12-3, the standard error of estimate is __________.

ANSWER:

0.50

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: standard error of estimate

32.Referring to Table 12-3, the coefficient of correlation is __________.

ANSWER:

0.981

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: coefficient of correlation

33.Referring to Table 12-3, suppose the director of cooperative education wants to obtain a 95%

confidence-interval estimate for the mean number of job offers received by people who have had exactly one cooperative education job. The t critical value she would use is ________.

Simple Linear Regression 401 ANSWER:

4.3027

TYPE: FI DIFFICULTY: Easy

KEYWORDS: confidence interval, estimation of mean values, critical value

34.Referring to Table 12-3, suppose the director of cooperative education wants to obtain a 95%

confidence interval estimate for the mean number of job offers received by people who have had exactly one cooperative education job. The confidence interval is from ________ to ________. ANSWER:

2.424 to 4.576

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: confidence interval, estimation of mean values, critical value

35.Referring to Table 12-3, suppose the director of cooperative education wants to obtain a 95%

prediction interval estimate for the number of job offers received by people who have had exactly one cooperative education job. The prediction interval is from ________ to ________. ANSWER:

1.0947 to 5.9053

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: prediction interval, prediction of individual values

36.True or False: Referring to Table 12-3, suppose the director of cooperative education wants to

obtain two 95% confidence interval estimates. One is for the mean number of job offers received by people who have had exactly one cooperative education job and one for people who have had two. The confidence interval for people who have had one cooperative education job would be the wider of the two intervals.

ANSWER:

False

TYPE: TF DIFFICULTY: Moderate

KEYWORDS: confidence interval, estimation of mean values

37.Referring to Table 12-3, suppose the director of cooperative education wants to obtain a 95%

prediction interval for the number of job offers received by a person who has had exactly two cooperative education jobs. The t critical value she would use is ________.

ANSWER:

4.3027

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: prediction interval, prediction of individual values, critical value

38.Referring to Table 12-3, suppose the director of cooperative education wants to obtain a 95%

prediction interval for the number of job offers received by a person who has had exactly two cooperative education jobs. The prediction interval is from ________ to ________. ANSWER:

3.154 to 8.846

402 Simple Linear Regression

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: prediction interval, prediction of individual values

39.True or False: Referring to Table 12-3, suppose the director of cooperative education wants to

obtain both a 95% confidence interval estimate and a 95% prediction interval for X = 2. The

confidence interval estimate would be the wider of the two intervals.

ANSWER:

False

TYPE: TF DIFFICULTY: Moderate

KEYWORDS: confidence interval, prediction interval, estimation of mean values, prediction of individual values, properties

40.Referring to Table 12-3, the director of cooperative education wanted to test the hypothesis that

the true slope was equal to 0. The denominator of the test statistic is s. The value of s in this

b1b1 sample is ________.

ANSWER:

0.3536

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, standard error, slope

41.Referring to Table 12-3, the director of cooperative education wanted to test the hypothesis that

the true slope was equal to 0. The value of the test statistic is ________.

ANSWER:

7.07

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, test statistic, slope

42.Referring to Table 12-3, the director of cooperative education wanted to test the hypothesis that

the true slope was equal to 3.0. The value of the test statistic is ________.

ANSWER:

-1.4142

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, test statistic, slope

43.Referring to Table 12-3, the director of cooperative education wanted to test the hypothesis that

the true slope was equal to 0. For a test with a level of significance of 0.05, the null hypothesis should be rejected if the value of the test statistic is ________.

ANSWER:

> 4.3027 or < -4.3027

TYPE: FI DIFFICULTY: Easy

KEYWORDS: t test on slope, critical value, slope, decision

Simple Linear Regression 403

44. Referring to Table 12-3, the director of cooperative education wanted to test the hypothesis that

the true slope was equal to 3.0. For a test with a level of significance of 0.05, the null hypothesis should be rejected if the value of the test statistic is ________.

ANSWER:

> 4.3027 or < -4.3027

TYPE: FI DIFFICULTY: Easy

KEYWORDS: t test on slope, critical value, slope, decision

45. Referring to Table 12-3, the director of cooperative education wanted to test the hypothesis that

the true slope was equal to 0. The p -value of the test is between ________ and ________.

ANSWER:

0.01 and 0.02 using the Table, or 0.0194 using Excel TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, p -value, slope

46. Referring to Table 12-3, the director of cooperative education wanted to test the hypothesis that

the true slope was equal to 3.0. The p -value of the test is between ________ and ________.

ANSWER:

0.2 and 0.5 using the Table, or 0.2929 using Excel TYPE: FI DIFFICULTY: Difficult EXPLANATION: The t-test statistic is ()()1

11 2.53 1.41420.3536

b b t S β??=

==?

KEYWORDS: t test on slope, p -value, slope

TABLE 12-4

The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker. They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars. These data are presented in the table that follows.

Broker Clients Sales 1 27 52

404 Simple Linear Regression

2 11 37

3 42 64

4 33 55

5 15 29

6 15 34

7 25 58

8 36 59

9 28 44

10 30 48

11 17 31

12 22 38

47.Referring to Table 12-4, set up a scatter diagram.

KEYWORDS: scatter plot

48.Referring to Table 12-4, the least squares estimate of the slope is __________.

ANSWER:

1.12

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: slope, estimation, least squares

49.Referring to Table 12-4, the least squares estimate of the Y-intercept is __________.

Simple Linear Regression 405 ANSWER:

17.7

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: intercept, estimation, least squares

50.Referring to Table 12-4, the prediction for the amount of sales (in $1,000s) for a person who

brings 25 new clients into the firm is ________.

ANSWER:

45.66

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: prediction of individual values

51.Referring to Table 12-4, the total sum of squares (SST) is __________.

ANSWER:

1,564.2

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: sum of squares

52.Referring to Table 12-4, the regression sum of squares (SSR) is __________.

ANSWER:

1,227.4

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: sum of squares

53.Referring to Table 12-4, the error or residual sum of squares (SSE) is __________. ANSWER:

336.9

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: sum of squares

54.Referring to Table 12-4, the coefficient of determination is __________.

ANSWER:

0.785

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: coefficient of determination

55.Referring to Table 12-4, ______% of the total variation in sales generated can be explained by the

number of new clients brought in.

ANSWER:

78.5

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: coefficient of determination, interpretation

56.Referring to Table 12-4, the standard error of the estimated slope coefficient is __________.

406 Simple Linear Regression

ANSWER:

0.185

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: slope, standard error

57.Referring to Table 12-4, the standard error of estimate is __________.

ANSWER:

5.804

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: standard error of estimate

58.Referring to Table 12-4, the coefficient of correlation is __________.

ANSWER:

0.886

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: coefficient of correlation

59.Referring to Table 12-4, suppose the managers of the brokerage firm want to obtain a 99%

confidence interval estimate for the mean sales made by brokers who have brought into the firm

24 new clients. The t critical value they would use is ________.

ANSWER:

3.1693

TYPE: FI DIFFICULTY: Easy

KEYWORDS: estimation of mean values, confidence interval, critical value

60.Referring to Table 12-4, suppose the managers of the brokerage firm want to obtain a 99%

confidence interval estimate for the mean sales made by brokers who have brought into the firm

24 new clients. The confidence interval is from ________ to ________.

ANSWER:

39.19 to 49.89

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: estimation of mean values, confidence interval

61.Referring to Table 12-4, suppose the managers of the brokerage firm want to obtain a 99%

prediction interval for the sales made by a broker who has brought into the firm 18 new clients.

The t critical value they would use is ________.

ANSWER:

3.1693

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: prediction of individual values, prediction interval, critical value

Simple Linear Regression 407 62.Referring to Table 12-4, suppose the managers of the brokerage firm want to obtain a 99%

prediction interval for the sales made by a broker who has brought into the firm 18 new clients.

The prediction interval is from ________ to ________.

ANSWER:

18.23 to 57.42

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: prediction of individual values, prediction interval

63.Referring to Table 12-4, suppose the managers of the brokerage firm want to obtain both a 99%

confidence interval estimate and a 99% prediction interval for X = 24. The confidence interval estimate would be the __________ (wider or narrower) of the two intervals.

ANSWER:

narrower

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: prediction of individual values, prediction interval, estimation of mean values, confidence interval, properties

64.Referring to Table 12-4, the managers of the brokerage firm wanted to test the hypothesis that the

true slope was equal to 0. The denominator of the test statistic is s. The value of s in this

b1b1 sample is ________.

ANSWER:

0.1853

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, slope, standard error

65.Referring to Table 12-4, the managers of the brokerage firm wanted to test the hypothesis that the

true slope was equal to 0. The value of the test statistic is _______.

ANSWER:

6.04

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, slope, test statistic

66.Referring to Table 12-4, the managers of the brokerage firm wanted to test the hypothesis that the

number of new clients brought in did not affect the amount of sales generated. The value of the test statistic is _______.

ANSWER:

6.04

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, slope, test statistic

408 Simple Linear Regression

67.Referring to Table 12-4, the managers of the brokerage firm wanted to test the hypothesis that the

true slope was equal to 0. For a test with a level of significance of 0.01, the null hypothesis

should be rejected if the value of the test statistic is ________.

ANSWER:

> 3.1693 or < -3.1693

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, slope, critical value, decision

68.Referring to Table 12-4, the managers of the brokerage firm wanted to test the hypothesis that the

true slope was equal to 0. The p-value of the test is ________.

ANSWER:

< 0.01 using the Table, or 0.000126 using Excel

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, slope, p-value

69.Referring to Table 12-4, the managers of the brokerage firm wanted to test the hypothesis that the

true slope was equal to 0. At a level of significance of 0.01, the null hypothesis should be

_______ (accepted or rejected).

ANSWER:

rejected

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, slope, decision

70.Referring to Table 12-4, the managers of the brokerage firm wanted to test the hypothesis that the

true slope was equal to 0. At a level of significance of 0.01, the decision that should be made

implies that _____ (there is or there is no) linear dependent relation between the independent

and dependent variables.

ANSWER:

there is

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, slope, conclusion

71.Referring to Table 12-4, the managers of the brokerage firm wanted to test the hypothesis that the

number of new clients brought in had a positive impact on the amount of sales generated. The

value of the test statistic is _______.

ANSWER:

6.04

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, slope, test statistic

72.Referring to Table 12-4, the managers of the brokerage firm wanted to test the hypothesis that the

number of new clients brought in had a positive impact on the amount of sales generated. For a

Simple Linear Regression 409 test with a level of significance of 0.01, the null hypothesis should be rejected if the value of the test statistic is ________.

ANSWER:

> 2.7638

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, slope, critical value, decision

73.Referring to Table 12-4, the managers of the brokerage firm wanted to test the hypothesis that the

number of new clients brought in had a positive impact on the amount of sales generated. The p-value of the test is ________.

ANSWER:

< 0.005 using the Table, or 0.000126/2 using Excel

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, slope, p-value

74.Referring to Table 12-4, the managers of the brokerage firm wanted to test the hypothesis that the

number of new clients brought in had a positive impact on the amount of sales generated. At a level of significance of 0.01, the null hypothesis should be _______ (accepted or rejected). ANSWER:

rejected

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, slope, decision

75.Referring to Table 12-4, the managers of the brokerage firm wanted to test the hypothesis that the

number of new clients brought in had a positive impact on the amount of sales generated. At a level of significance of 0.01, the decision that should be made implies that the number of new clients brought in _____ (had or did not have) a positive impact on the amount of sales

generated.

ANSWER:

had

TYPE: FI DIFFICULTY: Moderate

KEYWORDS: t test on slope, slope, conclusion

TABLE 12-5

The managing partner of an advertising agency believes that his company's sales are related to the industry sales. He uses Microsoft Excel’s Data Analysis tool to analyze the last 4 years of quarterly data (i.e., n = 16) with the following results:

Regression Statistics

Multiple R 0.802

R Square 0.643

Adjusted R Square 0.618

Standard Error SYX 0.9224

410 Simple Linear Regression

16 Observations

ANOVA df SS MS F Sig.F R 1.27 0.000egression 21.497 21.497 25 Error 14 11.912 0.851 Total 15 33.409

Predictor Coef StdError t Stat P-value Intercept 3.962 1.440 2.75 0.016 Industry 0.040451 0.008048 5.03 0.000

Durbin-Watson Statistic 1.59

76. Referring to Table 12-5, the value of the quantity that the least squares regression line minimizes

ANSWER: IFFICULTY: Moderate

s, sum of squares

ANSWER:

040451

TY: Easy

imation

for a quarter in which X = 120 is Y = ________. IFFICULTY: Moderate

values 9. Referring to Table 12-5, the standard error of the estimate is ________.

IFFICULTY: Easy

timate

ination is ________. is ________.

11.912

FI D TYPE: KEYWORDS: least squares, propertie 77. Referring to Table 12-5, the estimates of the Y -intercept and slope are ________ and ________,

respectively.

3.962 and 0.TYPE: FI DIFFICUL KEYWORDS: intercept, slope, est 78. Referring to Table 12-5, the prediction

ANSWER: 8.816

: FI D TYPE KEYWORDS: prediction of individual

7ANSWER: 0.9224

I D TYPE: F KEYWORDS: standard error of es 80. Referring to Table 12-5, the coefficient of determ

ANSWER: 0.643

Simple Linear Regression 411

FI DIFFICULTY: Easy

mination

81. Referring to Table 12-5, the standard error of the estimated slope coefficient is ________.

ANSWER: FI DIFFICULTY: Easy r

82. Referring to Table 12-5, the correlation coefficient is ________.

ANSWER: FI DIFFICULTY: Easy

lation

83. Referring to Table 12-5, the partner wants to test for autocorrelation using the Durbin-Watson

ANSWER: IFFICULTY: Easy

tistic, critical value, autocorrelation

84. Referring to Table 12-5, the partner wants to test for autocorrelation using the Durbin-Watson

onclusion. rm the test.

ANSWER: PE: MC DIFFICULTY: Moderate

decision, autocorrelation 5. If the Durbin-Watson statistic has a value close to 0, which assumption is violated?

NSWER: PE: MC Difficulty: Easy

n statistic, autocorrelation, assumption TYPE:KEYWORDS: coefficient of deter 0.008

TYPE:KEYWORDS: slope, standard erro 0.802

TYPE: KEYWORDS: coefficient of corre statistic. Using a level of significance of 0.05, the critical values of the test are d L = ________, and d U = ________. 1.10; 1.37

TYPE: FI D KEYWORDS: Durbin-Watson sta statistic. Using a level of significance of 0.05, the decision he should make is:

a) there is evidence of autocorrelation.

b) the test is unable to make a definite c c) there is no evidence of autocorrelation.

d) there is not enough information to perfo c

TY KEYWORDS: Durbin-Watson statistic,

8a) Normality of the errors. b) Independence of errors. c) Homoscedasticity. d) None of the above.

A b

TY KEYWORDS: Durbin-Watso

412 Simple Linear Regression

6. If the Durbin-Watson statistic has a value close to 4, which assumption is violated?

NSWER: PE: MC Difficulty: Easy

n statistic, assumption, autocorrelation 7. The standard error of the estimate is a measure of

egression line. variable.

ANSWER: PE: MC DIFFICULTY: Easy

mate, interpretation

88. The coefficient of determination (r ) tells us

s larger than 1. otal variation. .

ANSWER: PE: MC DIFFICULTY: Easy

ination, interpretation

ABLE 12-6

The following EXCEL tables are obtained when "Score received on an exam (measured in percentage

Regression Statistics

8a) Normality of the errors. b) Independence of errors. c) Homoscedasticity. d) None of the above.

A b

TY KEYWORDS: Durbin-Watso

8a) total variation of the Y variable.

b) the variation around the sample r c) explained variation.

d) the variation of the X b

TY KEYWORDS: standard error of esti 2a) that the coefficient of correlation (r ) i b) whether r has any significance.

c) that we should not partition the t d) the proportion of total variation that is explained d

TY KEYWORDS: coefficient of determ

T points)" (Y) is regressed on "percentage attendance" (X) for 22 students in a Statistics for Business and Economics course. Multiple 620229 R 0.142R Square 0.02034053 Adjusted R Square -0.028642444 Standard Error 20.25979924

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5. 曲线3 26y y x -=在)2,2(-点切线的斜率为 . 6. 设)(x f 为可导函数,)()1()(,1)1(2 x f x f x F f +==',则=')1(F . 7. 若 ),1(2)(0 2x x dt t x f +=? 则=)2(f . 8. x x x f 2)(+=在[0,4]上的最大值为 . 9. 广义积分 =-+∞? dx e x 20 . 10. 设D 为圆形区域=+≤+??dxdy x y y x D 5 2 2 1, 1 . 三、计算题(每题5分,共40分) 1. 计算)) 2(1 )1(11(lim 222n n n n ++++∞→Λ. 2. 求10 3 2 )10()3()2)(1(++++=x x x x y ΛΛ在(0,+∞)内的导数. 3. 求不定积分 dx x x ? -) 1(1. 4. 计算定积分 dx x x ? -π 53sin sin . 5. 求函数2 2 3 24),(y xy x x y x f -+-=的极值. 6. 设平面区域D 是由x y x y == ,围成,计算dxdy y y D ?? sin . 7. 计算由曲线x y x y xy xy 3,,2,1====围成的平面图形在第一象限的面积. 8. 求微分方程y x y y 2- ='的通解. 四、证明题(每题10分,共20分) 1. 证明:tan arc x = )(+∞<<-∞x .

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(完整版)高等数学试题及答案.doc

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(完整版)高等数学试题及答案

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高等数学下册试题 一、选择题(每题4分,共20分) 1. 已知A (1,0,2), B (1,2,1)是空间两点,向量 AB 的模是:( A ) A )5 B ) 3 C ) 6 D )9 解 ={1-1,2-0,1-2}={0,2,-1}, |AB |= 5)1(20222=-++. 2. 设a ={1,-1,3}, b ={2,-1,2},求c =3a -2b 是:( B ) A ){-1,1,5}. B ) {-1,-1,5}. C ) {1,-1,5}. D ){-1,-1,6}. 解 (1) c =3a -2b =3{1,-1,3}-2{2,-1,2}={3-4,-3+2,9-4}={-1,-1,5}. 3. 设a ={1,-1,3}, b ={2, 1, -2},求用标准基i , j , k 表示向量c=a-b ; ( A ) A )-i -2j +5k B )-i -j +3k C )-i -j +5k D )-2i -j +5k 解c ={-1,-2,5}=-i -2j +5k . 4. 求两平面032=--+z y x 和052=+++z y x 的夹角是:(C ) A )2π B )4π C )3 π D )π 解 由公式(6-21)有 2 1112)1(211)1(1221cos 2222222 121= ++?-++?-+?+?= ??= n n n n α, 因此,所求夹角 32 1 arccos π α= =. 5. 求平行于z 轴,且过点)1,0,1(1M 和)1,1,2(2-M 的平面方程.是:(D ) A )2x+3y=5=0 B )x-y+1=0 C )x+y+1=0 D )01=-+y x . 解 由于平面平行于z 轴,因此可设这平面的方程为 0=++D By Ax 因为平面过1M 、2M 两点,所以有 ?? ?=+-=+020D B A D A 解得D B D A -=-=,,以此代入所设方程并约去)0(≠D D ,便得到所求的 平面方程 01=-+y x 6.微分方程()043 ='-'+''y y y x y xy 的阶数是( D )。

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