Using the R output, here are the least squares linear regression equations for the first 2 pairs of variables: ŷ1 = 53.3267 - 0.1011 (x1) ỹ2 = 53.6741 - 0.1075 (x2) Provide the least squares linear regression equation for the third pair of variables and comment on what you notice when comparing the three regression lines.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Please use the given info to answer the subquestion Part B

Part B:
Here's the coefficients output, generated using R, for each of the three pairs of variables.
Coefficients:
(Intercept)
х1
Estimate Std. Error t value Pr(>|t|)
7.6916
0.1355 -0.746
53.3267
-0.1011
6.933 1.39e-10 ***
0.457
Coefficients:
(Intercept)
X2
Estimate Std. Error t value Pr(>|t|)
7.6911
0.1355 -0.794
53.6741
-0.1075
6.979 1.09e-10 ***
0.429
Coefficients:
(Intercept)
X3
Estimate Std. Error t value Pr(>|t|)
7.6934
0.1355 -0.764
53.4530
-0.1036
6.948 1.29e-10 ***
0.446
Using the R output, here are the least squares linear regression equations for the first 2 pairs of variables:
ŷ1 = 53.3267 - 0.1011 (x1)
ŷ2 = 53.6741 - 0.1075 (x2)
Provide the least squares linear regression equation for the third pair of variables and comment on what you notice when comparing the three
regression lines.
Transcribed Image Text:Part B: Here's the coefficients output, generated using R, for each of the three pairs of variables. Coefficients: (Intercept) х1 Estimate Std. Error t value Pr(>|t|) 7.6916 0.1355 -0.746 53.3267 -0.1011 6.933 1.39e-10 *** 0.457 Coefficients: (Intercept) X2 Estimate Std. Error t value Pr(>|t|) 7.6911 0.1355 -0.794 53.6741 -0.1075 6.979 1.09e-10 *** 0.429 Coefficients: (Intercept) X3 Estimate Std. Error t value Pr(>|t|) 7.6934 0.1355 -0.764 53.4530 -0.1036 6.948 1.29e-10 *** 0.446 Using the R output, here are the least squares linear regression equations for the first 2 pairs of variables: ŷ1 = 53.3267 - 0.1011 (x1) ŷ2 = 53.6741 - 0.1075 (x2) Provide the least squares linear regression equation for the third pair of variables and comment on what you notice when comparing the three regression lines.
In this data set you will be working with three pairs of variables:
pair 1: x1 and y1
pair 2: x2 and y2
pair 3: x3 and y3.
Transcribed Image Text:In this data set you will be working with three pairs of variables: pair 1: x1 and y1 pair 2: x2 and y2 pair 3: x3 and y3.
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