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Refer to the output of a multiple regression analysis model to predict SalePrice (S) of condominiums based on number of Apartments, Age (in months), Lot Size (in sq.ft.), Bld Area (sq.ft), Condition of Complex (E: Excellent; G: Good; or F: Fair) and two interaction terms (Bld area Condition E and Bld area*Condition G) 1. Interpret the coefficient 7315.03: (3) Interpret the coefficient 23084.74: iInterpret the coefficient 0.8877 (3) Is the overall model significant at a- 0..05? Write down the hypotheses, iv) test statistic, and p-value. (6) Multiple linear regression results: Dependent Variable: SalePrice Independent Variable(s): Apartments, Age, LotSize, BldArea, Condition E, Condition G, BldArea * Condition E, BldArea Condition G SalePrice 98600.871 + 7315.0335 Apartments + -1063.9733 Age + 1.5501212 LotSize+ 12.191151 BldArea +23084.736 Condition E+ 7506.0145 Condition G+0.88773184 BldArea Condition E + -1.2152266 BldArea Condition G Parameter estimates: P-value 0 14 2.0802027 0.0564 #0 14 4.6655091 0.0004 Estimate Std. Err. Alternative DF 98600.871 47399.645 T-Stat Parameter Intercept Apartments Age LotSize BldArea Condition E Condition G BldArea Condition E 0.88773184 4.27333 17 BldArea Condition G-1.2152266 3.9799931 7315.0335 1567.8961 1063.9733 340.61062 1.5501212 2.8919206 12.191151 4.5915637 23084.736 39936.446 #0 14-3.1237233 0.0075 0 14 0.53601791 0.6004 #0 14 #0 14 0.57803 681 0.5724 #014 0 14 #0 14 7506.0145 38045.139 Analysis of variance table for multiple regression model: F-stat P-value Source DF Model MS 8 1.014123e12 1.2676538e11 Error 22 1.0265915e12 14 1.2468493e10 Total Summary of fit: Root MSE R-squared: R-squared (adjusted): 12/APTS. ba&dlim=tab&it=iue 1/1 ww.statorunch.com%2Fbooks%2Fmaclave https//www.statorunch.com/appndatar

Refer to the output of a multiple regression analysis model to predict SalePrice (S) of condominiums based on number of Apartments, Age (in months), Lot Size (in sq.ft.), Bld Area (sq.ft), Condition of Complex (E: Excellent; G: Good; or F: Fair) and two interaction terms (Bld area Condition E and Bld area*Condition G) 1. Interpret the coefficient 7315.03: (3) Interpret the coefficient 23084.74: iInterpret the coefficient 0.8877 (3) Is the overall model significant at a- 0..05? Write down the hypotheses, iv) test statistic, and p-value. (6) Multiple linear regression results: Dependent Variable: SalePrice Independent Variable(s): Apartments, Age, LotSize, BldArea, Condition E, Condition G, BldArea * Condition E, BldArea Condition G SalePrice 98600.871 + 7315.0335 Apartments + -1063.9733 Age + 1.5501212 LotSize+ 12.191151 BldArea +23084.736 Condition E+ 7506.0145 Condition G+0.88773184 BldArea Condition E + -1.2152266 BldArea Condition G Parameter estimates: P-value 0 14 2.0802027 0.0564 #0 14 4.6655091 0.0004 Estimate Std. Err. Alternative DF 98600.871 47399.645 T-Stat Parameter Intercept Apartments Age LotSize BldArea Condition E Condition G BldArea Condition E 0.88773184 4.27333 17 BldArea Condition G-1.2152266 3.9799931 7315.0335 1567.8961 1063.9733 340.61062 1.5501212 2.8919206 12.191151 4.5915637 23084.736 39936.446 #0 14-3.1237233 0.0075 0 14 0.53601791 0.6004 #0 14 #0 14 0.57803 681 0.5724 #014 0 14 #0 14 7506.0145 38045.139 Analysis of variance table for multiple regression model: F-stat P-value Source DF Model MS 8 1.014123e12 1.2676538e11 Error 22 1.0265915e12 14 1.2468493e10 Total Summary of fit: Root MSE R-squared: R-squared (adjusted): 12/APTS. ba&dlim=tab&it=iue 1/1 ww.statorunch.com%2Fbooks%2Fmaclave https//www.statorunch.com/appndatar

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 92E
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Refer to the output of a multiple regression analysis model to predict SalePrice (S) of condominiums based on number of Apartments, Age (in months), Lot Size (in sq.ft.), Bld Area (sq.ft), Condition of Complex (E: Excellent; G: Good; or F: Fair) and two interaction terms (Bld area Condition E and Bld area*Condition G) 1. Interpret the coefficient 7315.03: (3) Interpret the coefficient 23084.74: iInterpret the coefficient 0.8877 (3) Is the overall model significant at a- 0..05? Write down the hypotheses, iv) test statistic, and p-value. (6)
Transcribed Image Text:Refer to the output of a multiple regression analysis model to predict SalePrice (S) of condominiums based on number of Apartments, Age (in months), Lot Size (in sq.ft.), Bld Area (sq.ft), Condition of Complex (E: Excellent; G: Good; or F: Fair) and two interaction terms (Bld area Condition E and Bld area*Condition G) 1. Interpret the coefficient 7315.03: (3) Interpret the coefficient 23084.74: iInterpret the coefficient 0.8877 (3) Is the overall model significant at a- 0..05? Write down the hypotheses, iv) test statistic, and p-value. (6)
Multiple linear regression results: Dependent Variable: SalePrice Independent Variable(s): Apartments, Age, LotSize, BldArea, Condition E, Condition G, BldArea * Condition E, BldArea Condition G SalePrice 98600.871 + 7315.0335 Apartments + -1063.9733 Age + 1.5501212 LotSize+ 12.191151 BldArea +23084.736 Condition E+ 7506.0145 Condition G+0.88773184 BldArea Condition E + -1.2152266 BldArea Condition G Parameter estimates: P-value 0 14 2.0802027 0.0564 #0 14 4.6655091 0.0004 Estimate Std. Err. Alternative DF 98600.871 47399.645 T-Stat Parameter Intercept Apartments Age LotSize BldArea Condition E Condition G BldArea Condition E 0.88773184 4.27333 17 BldArea Condition G-1.2152266 3.9799931 7315.0335 1567.8961 1063.9733 340.61062 1.5501212 2.8919206 12.191151 4.5915637 23084.736 39936.446 #0 14-3.1237233 0.0075 0 14 0.53601791 0.6004 #0 14 #0 14 0.57803 681 0.5724 #014 0 14 #0 14 7506.0145 38045.139 Analysis of variance table for multiple regression model: F-stat P-value Source DF Model MS 8 1.014123e12 1.2676538e11 Error 22 1.0265915e12 14 1.2468493e10 Total Summary of fit: Root MSE R-squared: R-squared (adjusted): 12/APTS. ba&dlim=tab&it=iue 1/1 ww.statorunch.com%2Fbooks%2Fmaclave https//www.statorunch.com/appndatar
Transcribed Image Text:Multiple linear regression results: Dependent Variable: SalePrice Independent Variable(s): Apartments, Age, LotSize, BldArea, Condition E, Condition G, BldArea * Condition E, BldArea Condition G SalePrice 98600.871 + 7315.0335 Apartments + -1063.9733 Age + 1.5501212 LotSize+ 12.191151 BldArea +23084.736 Condition E+ 7506.0145 Condition G+0.88773184 BldArea Condition E + -1.2152266 BldArea Condition G Parameter estimates: P-value 0 14 2.0802027 0.0564 #0 14 4.6655091 0.0004 Estimate Std. Err. Alternative DF 98600.871 47399.645 T-Stat Parameter Intercept Apartments Age LotSize BldArea Condition E Condition G BldArea Condition E 0.88773184 4.27333 17 BldArea Condition G-1.2152266 3.9799931 7315.0335 1567.8961 1063.9733 340.61062 1.5501212 2.8919206 12.191151 4.5915637 23084.736 39936.446 #0 14-3.1237233 0.0075 0 14 0.53601791 0.6004 #0 14 #0 14 0.57803 681 0.5724 #014 0 14 #0 14 7506.0145 38045.139 Analysis of variance table for multiple regression model: F-stat P-value Source DF Model MS 8 1.014123e12 1.2676538e11 Error 22 1.0265915e12 14 1.2468493e10 Total Summary of fit: Root MSE R-squared: R-squared (adjusted): 12/APTS. ba&dlim=tab&it=iue 1/1 ww.statorunch.com%2Fbooks%2Fmaclave https//www.statorunch.com/appndatar
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