Hi, sahim Get a 7-day free trial to premium PDF tools. ALL TOOLS Start free trial Export a PDF Edit text & images Convert to PDF Fill & Sign Organize pages Request e-signatures Compress a PDF Combine files Protect a PDF 1 55°F Cloudy Include the Dunding variable in regression models, rita murupie regression model using Days as the Y or dependent variable with independent variables of Hours, Material, the Hrs*mat interaction and the building indicators. What is the R-Squared for this model? Interpret the R-Squared value in the context of the problem. Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.6197 0.3841 0.3272 7.2329 ANOVA a Regression 6 2120.37 ง Residual 65 3400.50 MS 353.40 52.32 6.76 Significance F 1.35522E-05 Total 71 5520.88 Coeficients Standard Erro A Intercept 2.784 1.2800 Stat 2.1749 Hours 3.447 0.6743 5.1126 Material 0.028 0.0070 3.9941 P-value 0.033278892 3.01597E-06 0.000168027 Athletic -1.695 5.1777 Academic -0.007 2.0862 -0.3274 0.744406626 -0.0031 0.997496893 Administrative -2.872 Hrs "mat -0.023 2.5728 0.0055 -1.1164 -4.1746 0.268348176 9.05865E-05 Q Search The R-Squared is 0.3841. This suggests that 32.14% of the variance in time to complete a work order (Days) is explained by the relationship with Hours, Material, Building type and the hours*material interaction. Page: 4 of 10 4 QMM2410 W24 Chp 16 HW problems Solution f) Using the model from part e), make a point prediction for the number of days to complete a work order for an administrative building that requires 3 hours, and $20 of material. Days 2.784+ 3.447(3) + 0.028(20) 1.695(0) 0.007(0) - 2.872(1) -0.023(3*20) = 9.43 g) Using the model from part e), provide a 90% confidence interval on the average number of days to complete a work order for an administrative building that requires 3 hours, and $20 of material. 9.43±1.669 (7.2329) √1/72 => [8.01, 10.85] H W 10 << > ENG 11:04 PM 4/12/2024 PRE