DAT 565 Week 5 Apply Regression Modeling.docx - DAT 565...

DAT 565 Week 5 Apply Regression Modeling
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565-Week-5-Apply-Regression-Modeling
Discussion 1
DAT 565
Generally speaking fit r^2 is 0.9530 and changed r^2 is
0.9461

Indicators huge at α=0.05 are Floor-Area and Offices as both
have P esteem under 0.05
Passages and Age can be wiped out as both have P esteem
more prominent than 0.05.
Relapse Output in the wake of eliminating Entrances and Age
Variable
Apply: Regression Modeling
Dissipate plotof Assessment Value Vs Floor-Area
Indeed, there is a direct relationship as the Scatterplot has the
Positive Trend and R-Squared worth is near 1.
Relapse Output of Assessment Value Vs Floor-Area

Indeed Floor-Area is a critical Predictor variable as its P
esteem is under 0.05.
Dissipate plotof Assessment Value Vs Age
Indeed, there not have all the earmarks of being straight
relationship as the Scatterplot
will be scatterplot for what it's worth and R-Squared worth is
just about 0.