Where necessary, show all work for credit. 18 points] Residual plots are provided below for two different regressions. W

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Where Necessary Show All Work For Credit 18 Points Residual Plots Are Provided Below For Two Different Regressions W 1 (58.6 KiB) Viewed 23 times

Where necessary, show all work for credit. 18 points] Residual plots are provided below for two different regressions. Which one of them shows greater evidence of violating the assumptions of regression and why. Discuss the specifics of any over- or under-prediction or heteroscedasticity for the regression that you choose. You are to only discuss one regression. Indicate which regression you are discussing (top or bottom) in your answer below. Regression of bikes rented by hours since analysis began Heteroscedastic as pattern/s) Normal PP Plot of Regression Standardized Residual Dependent Variable: Number of bicycles at station are present Expected Cum Prob Hipping Observed Cum Prob Regression to predict price paid for car given annual income. Standardized Predicted Value Fitted Values vs. Residuals Expected Cum Pros Fitted Value Normal P-P Plot of Regression Standardized Residual Dependent Variable: CarPrice Observed Cum Prob The TOP note. The Fitted values us Residuals has the homo scedastic because it has the similarity of spread shown. Also, it has under-prediction because from the model it is greater than the actual y-values.