STATS 110 Final: Statistics 110 Final Exam
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Point b: residual near zero & large leverage. Point c: an outlier but not influential b. Adirondack hikes: why is it better to use adjusted r2 rather than r2 when comparing multiple regression models, explain briefly what the variance inflation factor (vif) tells us about a multiple regression model coefficient. 5: the plot below shows residuals versus fitted values after fitting a linear regression model. Of the four conditions of linearity, equal variance, normality and independence, choose two and discuss whether or not they appear to be met based on this plot. l s a u d s e r i. Predicted: a guidebook contains information on the distance (miles), average time (minutes) and elevation gain (feet) for a sample of 72 day hikes in southern california. Below is some r output from a simple linear regression model to predict the elevation gain using the hike time. Signif. codes: 0 ***" 0. 001 **" 0. 01 *" 0. 05 . " 0. 1 " 1.
