1) Students in a small statistics course wanted to investigate if forearm length (in cm) was useful for predicting foot length (in cm). The computer output from the analysis is provided.

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

Predictor	Coef	SE Coef	T	P-value
Constant	9.216	4.521	2.04	0.066
Forearm (cm)	0.5735	0.1578	3.63	0.004

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)

Explain what the 95% CI means for x = 28 cm.

Group of answer choices

95% C.I. for the foot length for one person who has a forearm length that is 28 cm

95% C.I. for the mean foot length for forearms that are 28 cm long

95% C.I. for the foot length for people who have a forearm length that is 28 cm

Flag question: Question 12Question 121 pts

Students in a small statistics course wanted to investigate if forearm length (in cm) was useful for predicting foot length (in cm). The computer output from the analysis is provided.

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

Predictor	Coef	SE Coef	T	P-value
Constant	9.216	4.521	2.04	0.066
Forearm (cm)	0.5735	0.1578	3.63	0.004

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)

Explain what the 95% PI means for x = 28 cm.

Group of answer choices

A) 95% C.I. for the mean foot length for forearms that are 28 cm long

B) 95% C.I. for the foot length for one person who has a forearm length that is 28 cm

C) 95% C.I. for the foot length for people who have a forearm length that is 28 cm