11. Problem 13 in Chapter between weight and in men. Weights were cla and had a mean of M = measured in thousands with SS = 21,609, anc a. Find the regression from weight. (Ider X values and the in b. What percentage c is accounted for b (Compute the corn c. Does the regressic
11. Problem 13 in Chapter between weight and in men. Weights were cla and had a mean of M = measured in thousands with SS = 21,609, anc a. Find the regression from weight. (Ider X values and the in b. What percentage c is accounted for b (Compute the corn c. Does the regressic
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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
Transcribed Image Text:11. Problem 13 in Chapter 15 examined the relationshiD
between weight and income for a sample of n = 8
men. Weights were classified in five categories
and had a mean of M = 3 with SS = 18. Income.
measured in thousands, had a mean score of M = 88
%3D
with SS = 21,609, and SP = 330.
%3D
a. Find the regression equation for predicting income
from weight. (Identify the weight scores as
X values and the income scores as Y values.)
b. What percentage of the variance in the income
is accounted for by the regression equation?
(Compute the correlation, r, then find r.)
c. Does the regression equation account for a
significant portion of the variance in income?
Use a = .05 to evaluate the F-ratio.
nan
grade
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