You are interesting in how rats' weights influence their running speed. For a group of 6 rats, you weigh them (in kg) and then time them in a race (in s). The data are given in the following table. Weight Subject (kg) Time (s) 1.1 110 0.8 90 C 09 70 D 0.7 80 1.2 100 F 1.1 85 Find the regression line that represents the relationship between your predictor variable (Weight) and your criterion variable (Time). SP or SSXY = [ Select ] SSX or SSXX : [ Select ] %3D SSY or SSYY = [ Select ] The slope of the line (b) = [ Select ] > >

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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You are interesting in how rats' weights influence their running speed. For a
group of 6 rats, you weigh them (in kg) and then time them in a race (in s).
The data are given in the following table.
Weight
Subject
(kg)
Time (s)
1.1
110
0.8
90
C
0.9
70
D
0.7
80
1.2
100
F
1.1
85
Find the regression line that represents the relationship between your
predictor variable (Weight) and your criterion variable (Time).
SP or SSXY = [ Select ]
SSX or SSXX :
[ Select ]
%3D
SSY or SSYY = [ Select ]
The slope of the line (b) =
[ Select ]
%3D
The intercept of the line (a) = [ Select ]
Find the standard error of the estimate for the regression above:
[ Select ]
>
>
>
Transcribed Image Text:You are interesting in how rats' weights influence their running speed. For a group of 6 rats, you weigh them (in kg) and then time them in a race (in s). The data are given in the following table. Weight Subject (kg) Time (s) 1.1 110 0.8 90 C 0.9 70 D 0.7 80 1.2 100 F 1.1 85 Find the regression line that represents the relationship between your predictor variable (Weight) and your criterion variable (Time). SP or SSXY = [ Select ] SSX or SSXX : [ Select ] %3D SSY or SSYY = [ Select ] The slope of the line (b) = [ Select ] %3D The intercept of the line (a) = [ Select ] Find the standard error of the estimate for the regression above: [ Select ] > > >
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