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It is assumed that standardized test scores should be correlated with students c

ID: 3159707 • Letter: I

Question

It is assumed that standardized test scores should be correlated with students classroom performance. One would expect that students who consistently perform well in the classroom (tests, quizzes, etc.) would also perform well on a standardized test (0 - 100 with 100 indicating high achievement). A teacher decides to examine this hypothesis. At the end of the academic year, she collects the following data for her (small) class:

(a) Estimate the expected GPA of a student who scored a 75 on the standardized test.

(b) Determine a 99% confidence interval for the expected value of a student who scored a 70 on the standardized test.

Explanation / Answer

Regression Analysis

0.950

n

5

r

0.975

k

1

Std. Error

0.187

Dep. Var.

Overall GPA

ANOVA table

Source

SS

df

MS

F

p-value

Regression

1.9832

1  

1.9832

56.77

.0048

Residual

0.1048

3  

0.0349

Total

2.0880

4  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=3)

p-value

99% lower

99% upper

Intercept

-0.2822

0.4201

-0.672

.5499

-2.7360

2.1717

Test score

0.0391

0.0052

7.535

.0048

0.0088

0.0694

Predicted values for: Overall GPA

99% Confidence Intervals

99% Prediction Intervals

Test score

Predicted

lower

upper

lower

upper

Leverage

75

2.6481

2.1420

3.1542

1.4448

3.8514

0.215

70

2.4527

1.8876

3.0179

1.2234

3.6820

0.268

The estimated regression line

Overall GPA = -0.2822+0.0391*test score

Estimated Overall GPA = -0.2822+0.0391*75

=2.6503

(b) Determine a 99% confidence interval for the expected value of a student who scored a 70 on the standardized test.

99% confidence interval =(1.8876, 3.0179).

Regression Analysis

0.950

n

5

r

0.975

k

1

Std. Error

0.187

Dep. Var.

Overall GPA

ANOVA table

Source

SS

df

MS

F

p-value

Regression

1.9832

1  

1.9832

56.77

.0048

Residual

0.1048

3  

0.0349

Total

2.0880

4  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=3)

p-value

99% lower

99% upper

Intercept

-0.2822

0.4201

-0.672

.5499

-2.7360

2.1717

Test score

0.0391

0.0052

7.535

.0048

0.0088

0.0694

Predicted values for: Overall GPA

99% Confidence Intervals

99% Prediction Intervals

Test score

Predicted

lower

upper

lower

upper

Leverage

75

2.6481

2.1420

3.1542

1.4448

3.8514

0.215

70

2.4527

1.8876

3.0179

1.2234

3.6820

0.268

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