To evaluate whether the assumption of linearity has been violated, which of the following graph should be examined? A. QQ plot of residuals
To evaluate whether the assumption of linearity has been violated, which of the following graph should be examined? A. QQ plot of residuals
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 12PPS
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To evaluate whether the assumption of linearity has been violated, which of the following graph should be examined?
QQ plot of residuals
Predicted Values vs. Residuals
Residuals vs. Progrm Per-Year Tuition ($)
Residual index plot
b) To evaluate whether the assumption of normality has been violated, which of the following graph should be examined?
Predicted Values vs. Residuals
Residuals vs. Progrm Per-Year Tuition ($)
Residual index plot
QQ plot of residuals
c) To evaluate whether the assumption of equal variance has been violated, which of the following graph should be examined?
Predicted Values vs. Residuals
Residual index plot
Residuals vs. Progrm Per-Year Tuition ($)
QQ plot of residuals
d) To evaluate whether the assumption of independence has been violated, which of the folowing graph should be examined?
Residual index plot
QQ plot of residuals
Predicted Values vs. Residuals
Residuals vs. Progrm Per-Year Tuition ($)
e) Which of the assumptions of regression, if any, have been seriously violated? Select all that apply.
The assumption of normality has been violated because the normal probability plot does not appear to be a straight line.
The assumption of independence has been violated because errors from later time periods appear to be related to those from earlier time periods.
The assumption of linearity has been violated because the data are clearly curvilinear.
The assumption of equal variance has been violated because the variability of the residuals changes as the program per-year tuition increases.
The assumptions of linearity, independence, normality, and equal variance do not appear to have been seriously violated.
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