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.
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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