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As reported by the College Entrance Examination Board the score on the scholasti

ID: 3200317 • Letter: A

Question

As reported by the College Entrance Examination Board the score on the scholastic Assessment Test (SAT) in 1995 was 428 points out of a possible 800. A random sample of 36 verbal scores for last year yielded a sample mean of 437.8: At the 5% significance level, does it appear that last year's mean for verbal SAT scores is greater than the 1995 mean of 428 points? Use this info for questions 32 &33. Determine the decision criteria. The critical values the separate the rejection region from the non-rejection region are z = plusminus 1.645. The critical values that separate the rejection region from the non- region are t = plusminus 1.690 The critical value the separates the rejection region from the non-rejection region is z = 1.645. The critical value the separates the rejection region from the non-rejection region is t 1.690. Determine the outcome of the hypothesis test. Reject H_o, the significance level is too small. Do not reject H_o, x is very close to H_o. Reject H_o, the value of the test statistic falls in the rejection region Do not reject H_o, the value of the test statistic falls in the non-rejection region Find the linear regression equation for the data below. y = 3.312 + 26,549x y 26.549 + 3.312x y 0.912 + 0.954x None of the above Which linear correlation coefficient is most useful for making predictions? r = 0.45 r = -0.65 r = 0.97 r = -0.15

Explanation / Answer

Answer:

34).

Answer: B). y=26.549+3.312x

Regression Analysis

0.911

n

15

r

0.954

k

1

Std. Error

2.174

Dep. Var.

y

ANOVA table

Source

SS

df

MS

F

p-value

Regression

627.8742

1  

627.8742

132.82

3.39E-08

Residual

61.4551

13  

4.7273

Total

689.3293

14  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=13)

p-value

95% lower

95% upper

Intercept

26.549

4.6109

5.758

.0001

16.5876

36.5103

x

3.312

0.2874

11.525

3.39E-08

2.6909

3.9325

35).

Answer: c: r=0.97

Correlation with high magnitude is more useful.

Regression Analysis

0.911

n

15

r

0.954

k

1

Std. Error

2.174

Dep. Var.

y

ANOVA table

Source

SS

df

MS

F

p-value

Regression

627.8742

1  

627.8742

132.82

3.39E-08

Residual

61.4551

13  

4.7273

Total

689.3293

14  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=13)

p-value

95% lower

95% upper

Intercept

26.549

4.6109

5.758

.0001

16.5876

36.5103

x

3.312

0.2874

11.525

3.39E-08

2.6909

3.9325