Multiple Choice: Select the best answer for Exercises 87-92. Exercises 87-92 refer to the following setting. To see if stu- dents with longer feet tend to be taller, a random sample of 25 students was selected from a large high school. For each student, x = foot length (cm) and y = height (cm) were recorded. We checked that the conditions for infer- ence about the slope of the population regression line are met. Here is a portion of the computer output from a least- squares regression analysis using these data: Predictor Constant Foot length S 6.47044 Coef SE Coef T P 0.000 91.9766 10.2204 8.999 3.0867 0.4117 7.498 0.000 R-Sq=72.8% R-Sq (adj) = 71.5%
Multiple Choice: Select the best answer for Exercises 87-92. Exercises 87-92 refer to the following setting. To see if stu- dents with longer feet tend to be taller, a random sample of 25 students was selected from a large high school. For each student, x = foot length (cm) and y = height (cm) were recorded. We checked that the conditions for infer- ence about the slope of the population regression line are met. Here is a portion of the computer output from a least- squares regression analysis using these data: Predictor Constant Foot length S 6.47044 Coef SE Coef T P 0.000 91.9766 10.2204 8.999 3.0867 0.4117 7.498 0.000 R-Sq=72.8% R-Sq (adj) = 71.5%
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Please solve it sir and dont do handwritten please explain concept .. please explain which option is correct and why other are wrong or skip please.

Transcribed Image Text:Multiple Choice: Select the best answer for Exercises 87-92.
Exercises 87-92 refer to the following setting. To see if stu-
dents with longer feet tend to be taller, a random sample
of 25 students was selected from a large high school. For
each student, x = foot length (cm) and y = height (cm)
were recorded. We checked that the conditions for infer-
ence about the slope of the population regression line are
met. Here is a portion of the computer output from a least-
squares regression analysis using these data:
Predictor
Constant
Coef SE Coef
T
P
91.9766 10.2204
8.999
0.000
Foot length 3.0867 0.4117 7.498 0.000
S 6.47044
R-Sq=72.8%
R-Sq (adj)=71.5%

Transcribed Image Text:88. The slope 3 of the population regression line
describes
(a) the exact increase in height (cm) for students at this
high school when foot length increases by 1 cm.
(b) the average increase in foot length (cm) for students at
this high school when height increases by 1 cm.
(c) the average increase in height (cm) for students at this
high school when foot length increases by 1 cm.
(d) the average increase in foot length (cm) for students in
the sample when height increases by 1 cm.
(e) the
average increase in height (cm) for students in the
sample when foot length increases by 1 cm.
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