A mcdel was devekxped for the MSRP ofolT-road mctorcycles using he bore, Uhe cle

Question

A mcdel was devekxped for the MSRP ofolT-road mctorcycles using he bore, Uhe cleance, and the slroke as the predictor variables. The regresn oulput for the model is provided telow Assurne the assurnplions and conditions for regression were mel for the sample data a Would ths be a good madel to use to predici the price at an ot-road motorcycle it ynu knew its bore, dearance and engine strokes Explain b) A certain on-road motorcycle had 8n MSRP ot $36gg and a 2-stroke engine wth a bore ot mm Can you use ths model to estimate its Clearance, Explain 0 Cick here to view, the regression output for the model. a) ls this a good model for predicting MSRP? 6 Regression output A. Yes because the assumptions and conditions for regression were met O B. No, because most of the varisbility in MSRP is not accounted or by the model O C. Yes, because the predictors are l statistically signitcant 0 D. No, because some predictor variables are not statistically significant. E. Yes because most ofthe variablity in MSRP is accounted for by the model. b) Is this a good model for solving for Clearance? 24211129s Residu51 A. Yes because the assumptions and conditions for the model were met and all the other variables are known. O B. No, because a regression model cannot be used to calculate values for the response variable O C. No, because a regression model cannot be used to calculate values for predictor varisbles O D. Yes, because most of the variability ariong the variables is arcounted for by the model. 33270 Interoast -2831.1 5.320 1.25 91.09 15.6 7.52 234.94 Print Done

Explanation / Answer

a) option C Yes because the predictors are statistically significant

b) option C No because regression model can not be used to calculate values for predictor variables

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