Figure 1 shows a scatterplot of wages of twins for a group of 68 pairs of twins. Figure 2 shows a residual plot of the same data. Figure 3 shows a QQ plot of these residuals. Is the linear regression model appropriate for these​ data? Why or why​ not? Assume the observations are independently measured. Is the linear regression model appropriate for these​ data? Why or why​ not?     A.The residual plot shows a decreasing trend. Linear regression is inappropriate for this data​ set, because the linearity condition​ fails, and the errors are not independent of one another.   B.The residual plot shows an increasing​ trend, and the QQ plot does not follow a straight line. Linear regression is inappropriate for this data​ set, because the linearity condition and the Normality condition fail.   C.The QQ plot does not follow a straight line. Linear regression is inappropriate for this data​ set, because the Normality condition​ fails, and the errors are not independent of one another.   D.All of the conditions are​ met, so the linear model is appropriate.

College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter6: Linear Systems
Section6.2: Guassian Elimination And Matrix Methods
Problem 84E: Explain the differences between Gaussian elimination and Gauss-Jordan elimination.
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Figure 1 shows a scatterplot of wages of twins for a group of 68 pairs of twins. Figure 2 shows a residual plot of the same data. Figure 3 shows a QQ plot of these residuals. Is the linear regression model appropriate for these​ data? Why or why​ not? Assume the observations are independently measured.
Is the linear regression model appropriate for these​ data? Why or why​ not?
 
 
A.The residual plot shows a decreasing trend. Linear regression is inappropriate for this data​ set, because the linearity condition​ fails, and the errors are not independent of one another.
 
B.The residual plot shows an increasing​ trend, and the QQ plot does not follow a straight line. Linear regression is inappropriate for this data​ set, because the linearity condition and the Normality condition fail.
 
C.The QQ plot does not follow a straight line. Linear regression is inappropriate for this data​ set, because the Normality condition​ fails, and the errors are not independent of one another.
 
D.All of the conditions are​ met, so the linear model is appropriate.
Scatterplot
100-
80-
60-
(3)
QQ Plot
50-
40-
20-
20
40
60
80
Wage of One Twin (dollars per hour)
Residual Plot
507
40어
30-
20어
10-
-50-
Normal Quantiles
0-
20
40
60
-10어
-20-
-30-
-40-
-50-
Wage of One Twin
Residuals
Wage of the Other Twin
Residuals
Transcribed Image Text:Scatterplot 100- 80- 60- (3) QQ Plot 50- 40- 20- 20 40 60 80 Wage of One Twin (dollars per hour) Residual Plot 507 40어 30- 20어 10- -50- Normal Quantiles 0- 20 40 60 -10어 -20- -30- -40- -50- Wage of One Twin Residuals Wage of the Other Twin Residuals
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