Question

Complete steps 5 and 6 of the six step process based on the regression analysis output

with MPG as the DV. Temperature as the INY SUMMARYOUIPUT egression Stalis 59904566 0.358856703 0.305427012 15.16781887 14 Multiple R R Square RSqare Starard Em Observations ANOVA SS Significance F .023587047 df 1545.183899 6.716535511 230.056658 1545 183899 Regression asidal 2760 679872 4305.883571 12 Total 13 Lower 90.0% Upper 90.0% 24.35759085 1.950538299 10.54127644 Coeficients Standard Erra 0532 Upper 95% Lower 95% 81 1991399 34.92432925-7063240149 0 994897894 11 49691505 P-value tStaf 8249581 2591627965 0.023587047 8 8483 402288398 intercept MPG 8245908389 2.410032018 as the IV with MPG as the DV 2 Humidity SUM MARY OUTPUT Regression Statistics Mutiple R R Square Adjustd RSquare Standard Error Obserations 0.503848468 0253859763 0.191464743 19.23896318 4 ANOVA Signifcance F 0088340913 MS 1509 27559 4.078457793 370.0803875 Regession Residual 1509 27559 1 12 4440 72441 59E0 Total 13 Lpper 95% Lower 90.0% Ubper 90.0% 61002187152 1781239381.8982023 38.77842545 11 8208852 P-value Standard Ema Ster 0834582778 053735914 2019519198 0.0e83409130 48890037712 83271297 0725127358 Lower 95% Coeficients -21 46104739 337973413 Intercept 3.058821748

Answer 1

1. MPG is the dependent variable and temperature is independent variable.MPG is regressed based on temperature.R square is 0.35 indicates 35% variability has been explained by temperature.From anova table p value is less than 0.05 indicates the model is significant.In t test temp is significant as p value less than alpha.Fitted model is MPG=-23.13+temp*6.24.
2. MPG is the dependent variable and humidity is independent variable.MPG is regressed based on humidity.R square is 0.25 indicates 35% variability has been explained by humidity.From anova table p value 0.06 is greater than 0.05 indicates the model is NOT significant. Fitted model is MPG=-21.46+humidity*6.17.