can you predict a person's shoe size from their height? The computer output below provides mformation on a regression analysis of these variables for 12 randomly selected high school students n England. Both height and foot length are measured in centimeters. Assume all conditions for regression inference are met. Can Predictor Coef SE Coef 10.658 7.636 1.40 0.193 0.08237 0.04651 1.77 0.107 Constant Height * 1.22358 R-Sq = 23.98 R-Sq (adj) = 16.3% %3D 2. Which of the following is an estimate of the standard error of the slope of the regression line? 0.08237 a. V12 b. 0.08237 1.22358 c. V12 d. 0.04651 0.04651 e. 12 3. Which of the following is a correct interpretation of s = 1.22358? a. The typical distance between an observed height and the mean height is about 1.22 cm b. The typical distance between an observed foot length and the mean foot length is about 1.22 cm. c. The typical error in predicting foot length from height based on this regression model is about 1.22 cm d. The sum of the squared deviations between the observed heights and the predicted heights is about 1.22 cm. The sum of the squared deviations between the observed foot lengths and the predicted foot lengths is about 1.22 cm. e. 2.
can you predict a person's shoe size from their height? The computer output below provides mformation on a regression analysis of these variables for 12 randomly selected high school students n England. Both height and foot length are measured in centimeters. Assume all conditions for regression inference are met. Can Predictor Coef SE Coef 10.658 7.636 1.40 0.193 0.08237 0.04651 1.77 0.107 Constant Height * 1.22358 R-Sq = 23.98 R-Sq (adj) = 16.3% %3D 2. Which of the following is an estimate of the standard error of the slope of the regression line? 0.08237 a. V12 b. 0.08237 1.22358 c. V12 d. 0.04651 0.04651 e. 12 3. Which of the following is a correct interpretation of s = 1.22358? a. The typical distance between an observed height and the mean height is about 1.22 cm b. The typical distance between an observed foot length and the mean foot length is about 1.22 cm. c. The typical error in predicting foot length from height based on this regression model is about 1.22 cm d. The sum of the squared deviations between the observed heights and the predicted heights is about 1.22 cm. The sum of the squared deviations between the observed foot lengths and the predicted foot lengths is about 1.22 cm. e. 2.
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
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Transcribed Image Text:can you predict a person's shoe size from their height? The computer output below provides
mformation on a regression analysis of these variables for 12 randomly selected high school students
n England. Both height and foot length are measured in centimeters. Assume all conditions for
regression inference are met.
Can
Predictor
Coef SE Coef
10.658 7.636 1.40 0.193
0.08237 0.04651 1.77 0.107
Constant
Height
* 1.22358 R-Sq = 23.98 R-Sq (adj) = 16.3%
%3D
2. Which of the following is an estimate of the standard error of the slope of the regression line?
0.08237
a.
V12
b. 0.08237
1.22358
c.
V12
d. 0.04651
0.04651
e.
12
3. Which of the following is a correct interpretation of s = 1.22358?
a. The typical distance between an observed height and the mean height is about
1.22 cm
b. The typical distance between an observed foot length and the mean foot length is
about 1.22 cm.
c. The typical error in predicting foot length from height based on this regression
model is about 1.22 cm
d. The sum of the squared deviations between the observed heights and the predicted
heights is about 1.22 cm.
The sum of the squared deviations between the observed foot lengths and the
predicted foot lengths is about 1.22 cm.
e.
2.
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