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Students in a small statistics course wanted to investigate if forearm length (i

ID: 3225640 • Letter: S

Question

Students in a small statistics course wanted to investigate if forearm length (in cm) was useful for predicting foot length (in cm). The data they collected are displayed in the provided scatterplot (with regression), and the computer output from the analysis is provided.

Use three decimal places when reporting the results from any calculations, unless otherwise specified.

The regression equation is Foot (cm) = 9.22 + 0.574 Forearm (cm)

Coef

SE Coef

T

P

9.216

4.521

2.04

0.066

0.5735

0.1578

3.63

0.004

DF

SS

MS

F

P

1

44.315

44.315

13.20

0.004

11

36.916

3.356

12

81.231


Predicted Values for New Observations

Forearm (cm)

Fit

SE Fit

95% CI

95% PI

28

25.274

0.513

(24.144, 26.403)

(21.086, 29.461)


What is the test statistic for a test of the slope? What is the p-value? What is the conclusion of the test, in context?

Predictor

Coef

SE Coef

T

P

Constant

9.216

4.521

2.04

0.066

Forearm (cm)

0.5735

0.1578

3.63

0.004

Explanation / Answer

from above given test results

test statistic for a test of the slope =3.63

p-value=0.004

as p value is less then 0.05 level of significance ; we reject null hypothesis.

the test given sufficient evidence to conclude that slopp B1 has significant value there exist a significant linear relationship b/'w foot and forearm