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Apr 19, 2017 3:29 PM
(694 views)

Hi,

I am trying to calulate R-Square by using Step Wise regression in the attached DataSet

Till now I have cleaned the data by excluding the outliers and also by removing variables :

Garage yrblt ,1stflsf,totrmsabvgrd & Garagecars as they have very high correlation.

Recalculated the Lot frontage as Updated Lot Frontage as lot frontage had a lot of missing variables.

My problem is the that the R-Square Value in the Step Wise regression, Forward, minimum BIC is 1.

What am i doing wrong??

2 REPLIES

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Apr 20, 2017 9:10 AM
(668 views)

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I can only think of two reasons you would get R squared = 1. You might have accidentilly included the house id as a nominal variable (althought it looks continuous in your dataset) as a factor - but you should have received a bunch of warnings in the regression results. You could have accidentilly included the sales price as a factor (by shift-clicking when you added variables). Either could produce that result, but I can't think of anything else.

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Apr 20, 2017 9:38 AM
(663 views)