Assume you ran a multiple regression to gain a better understanding of the relationship between lumber sales, housing starts, and commercial construction. The regression uses lumber sales (in $100,000s) as the response variable with housing starts (in 1,000s) and commercial construction (in 1,000s) as the explanatory variables. The estimated model is Lumber Sales = β₀ + β₁Housing Starts + β₂Commercial Constructions + ε. The following ANOVA table summarizes a portion of the regression results. The standard deviation of the difference between actual lumber sales and the estimate of those sales is ________. A) 29.58 B) 48 C) 103.3 D) 875

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The Answer of Assume you ran a multiple regression to gain a better understanding of the relationship between lumber sales, housing starts, and commercial construction. The regression uses lumber sales (in $100,000s) as the response variable with housing starts (in 1,000s) and commercial construction (in 1,000s) as the explanatory variables. The estimated model is Lumber Sales = β₀ + β₁Housing Starts + β₂Commercial Constructions + ε. The following ANOVA table summarizes a portion of the regression results. The standard deviation of the difference between actual lumber sales and the estimate of those sales is ________. A) 29.58 B) 48 C) 103.3 D) 875

Assume You Ran a Multiple Regression to Gain a Better