MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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A simple linear regression model was fitted to two variables: Y, the response variable
and X, the explanatory variable.
A scatter plot of Y versus X as well as the residual plot after fitting the least squares
regression line to the data are given below.
0.4
0.35
0.3
0.25
> 0.2
0.15
0.1
0.05
2
10
X
0.2
0.15
0.1
0.05
10
-0.05
-0.1
Residuals
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Transcribed Image Text:A simple linear regression model was fitted to two variables: Y, the response variable and X, the explanatory variable. A scatter plot of Y versus X as well as the residual plot after fitting the least squares regression line to the data are given below. 0.4 0.35 0.3 0.25 > 0.2 0.15 0.1 0.05 2 10 X 0.2 0.15 0.1 0.05 10 -0.05 -0.1 Residuals
Which ONE of the following concerns with the assumptions for simple linear
regression is NOT indicated by the plots?
A straight line does not appear to be a good fit for the data.
The scatter about the trend increases as x increases.
There are doubts about the Normality of the errors.
The relationship between x and y appears curved.
The amount of variability in the residuals appears to depend on x.
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Transcribed Image Text:Which ONE of the following concerns with the assumptions for simple linear regression is NOT indicated by the plots? A straight line does not appear to be a good fit for the data. The scatter about the trend increases as x increases. There are doubts about the Normality of the errors. The relationship between x and y appears curved. The amount of variability in the residuals appears to depend on x.
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