1. The regression line is: y = -2 0.3 x x X - 2. Based on the regression line, we would expect the value of response variable to be 0.005 x when the explanatory variable is 0. 3. For each increase of 1 in of the explanatory variable, we can expect a(n) decrease ✓ of 1 x in the response variable.
1. The regression line is: y = -2 0.3 x x X - 2. Based on the regression line, we would expect the value of response variable to be 0.005 x when the explanatory variable is 0. 3. For each increase of 1 in of the explanatory variable, we can expect a(n) decrease ✓ of 1 x in the response variable.
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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Transcribed Image Text:Data Set:
{(−3,4), (−2, 3), (−1, 3), (0, 7), (1, 5), (2, 6), (3, 1)}
1. The regression line is: y = -2
FS
0.3
Your Turn: Data Set 2
2. Based on the regression line, we would expect the
value of response variable to be 0.005
4. If x= -3.5, the y = 1
when the explanatory variable is 0.
3. For each increase of 1 in of the explanatory variable,
we can expect a(n) decrease
of 1
in the response variable.
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