Which variable contribute the most to the regression model? Does this make sense? Are there variables that should be eliminated from the model? Explain.

What is the maximum error for predictions of quantity 8? What is it for quantity 11?

+ Details Overview Influencer Contributions 62 Settings Type: Regression Data Partition Minimum Maximum Mean Standard Deviation Training 0 144 5.28 3.46 Validation 0 135 5.29 3.46 Description: regression analysis of sales data without choosing influencers Influencer Contributions *Training Data Source: i GlobalBike Sales Influencer Contribution Edit Column Details ProductCategory 36.08% Costs USD 35.50% v Predictive Goal ProductID 8.63% *Target: i SalesQuantity ProdDescr 5.52% Revenue USD 5.24% v Influencers Exclude As influencer: i No Column Predicted vs. Actual o Limit Number Of Influencers: i 28.45 Perfect Model Train Validation Actual + Details Overview Influencer Contributions 62 Settings Type: Regression Data Partition Minimum Maximum Mean Standard Deviation Training 0 144 5.28 3.46 Validation 0 135 5.29 3.46 Description: regression analysis of sales data without choosing influencers Influencer Contributions *Training Data Source: i GlobalBike Sales Influencer Contribution Edit Column Details ProductCategory 36.08% Costs USD 35.50% v Predictive Goal ProductID 8.63% *Target: i SalesQuantity ProdDescr 5.52% Revenue USD 5.24% v Influencers Exclude As influencer: i No Column Predicted vs. Actual o Limit Number Of Influencers: i 28.45 Perfect Model Train Validation Actual + Details Overview Influencer Contributions 62 Settings Type: Regression Data Partition Minimum Maximum Mean Standard Deviation Training 0 144 5.28 3.46 Validation 0 135 5.29 3.46 Description: regression analysis of sales data without choosing influencers Influencer Contributions *Training Data Source: i GlobalBike Sales Influencer Contribution Edit Column Details ProductCategory 36.08% Costs USD 35.50% v Predictive Goal ProductID 8.63% *Target: i SalesQuantity ProdDescr 5.52% Revenue USD 5.24% v Influencers Exclude As influencer: i No Column Predicted vs. Actual o Limit Number Of Influencers: i 28.45 Perfect Model Train Validation Actual + Details Overview Influencer Contributions 62 Settings Type: Regression Data Partition Minimum Maximum Mean Standard Deviation Training 0 144 5.28 3.46 Validation 0 135 5.29 3.46 Description: regression analysis of sales data without choosing influencers Influencer Contributions *Training Data Source: i GlobalBike Sales Influencer Contribution Edit Column Details ProductCategory 36.08% Costs USD 35.50% v Predictive Goal ProductID 8.63% *Target: i SalesQuantity ProdDescr 5.52% Revenue USD 5.24% v Influencers Exclude As influencer: i No Column Predicted vs. Actual o Limit Number Of Influencers: i 28.45 Perfect Model Train Validation Actual