The cases that make up this dataset are types of cars. The data include the engine size or displacement (in
(a) Compare the two plots: Price versus Displacement and log10 Price versus log10 Displacement. Does either seem suited, even approximately, to the SRM?
(b) Would the linear equation, particularly the slope, have the same meaning in both cases considered in part (a)?
(c) Fit the preferred equation as identified in part (a); then use this rough test for equal variance. First, divide the plot in half at the median of the explanatory variable in your model. Second, count the number of points that lie outside the 95% prediction limits in each half of the data. Are these randomly distributed between the two halves? Are the error terms homoscedastic?
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Question Posted: July 14, 2015 09:47:09