The following result perspective in RapidMiner shows a multiple linear regression model. Based on the diagram, the model for our dependent variable

Y

is Predicted

Y=

(Insulation* 0.420)+(Temperature0.065)+(Home_Size*0.311)+7.589\ \\\\table[[Attribute,Coefficient,Std. Error,Std. Coefficient,Tolerance,t-Stat],[Insulation,3.323,0.420,0.164,0.431,7.906],[Temperature,-0.869,0.071,-0.262,0.405,-12.222],[Avg_Age,1.968,0.065,0.527,0.491,30.217],[Home_Size,3.173,0.311,0.131,0.914,10.210],[(Intercept),134.511,7.589,

?

,

?

,17.725]]\ True\ False

The following result perspective in RapidMiner shows a multiple linear regression model. Based on the diagram, the model for our dependent variable Y is Predicted Y= (Insulation*0.420)+(Temperature*0.071)+(Avg_Age*0.065)+(Home_Size*0.311)+7.589 True False