Question: A multiple regression model is used to develop an equation to account for seasonal effects and any linear trend in the data on average monthly

A multiple regression model is used to develop an equation to account for seasonal effects and any linear trend in the data on average monthly distance traveled on billion by vehicles on urban highways for five different years. To capture seasonal effects, dummy variables are used as an if month is january, otherwise: Feb 1 month is February 6 otherwise... Nov - 1 month is November, otherwise, and create a variablet such that t = 1 for January of year 1,t2 for February of year 1...-60 for December of years. The excel output is following SUMMARY OUTPUT Multiple Square Adjusted Square Standard Observation 0.00 0.3953 1041043) ANOVA Sponge 6030202350 22001) Regression ) 12 47 sa M 7.095180633 0.657832 512119167 0.01 3407 Tot Intercept Ver Feb Mar Apr May Pune SESTOR 4.5757 -0.43014722 G.SE OS 30625 0.463611111 0.152155722 03132091667 -0.1457405 0.17210444 0.19645833 0.098037222 -0.000548611 0.00TL Standard Stor Pole LOW UP Lower ON USSON 0.054736 3359097 1996E-S) 4465637796 4.6458722 4427796 47200 0.66598 6572 3.57E-8 0.572004547 -0.01064905720044) -0. 0.0666-6492 30.71414 1.50936-13 0.546741226 0.8148355 0.54674326 0.81420152 0.06660 3.810606161658-11 0.451474114 0.71865001 0.451415 0.7186 0.0063357 7.291692 20557E-09 0.020 0.617060188 0.017 0.666252235 2.296673 0.036140045 0.018572417 0.28544203 0.017217 0.066190342 -3.2220 0.00931125 34644000301309 0.346458 0.006137925 -2.243 0.0292158 0.261295738 -0,0156907 -0.251795390 -0.01563 0.06SSOOS -2.605260.012255053 -0.305160409 0.0192284 -0.30516049 0.0092254 0.066061608241642 0.003545 -0.292546647 -0.03677 0.232541647 0.000 0.006037141-150051 140145635-02313021 0.03375358 0.1021 0.0.31577 0.000023417 0.0067 0.179709655 -0.193370593 0.07427337 0.1913793 DOM 0.00001 11.9023 1.678SSE.16 0.0073 0.011070.00304 0.011 ine Aug Sep On NON What is the forecast for September of year 7 in billion miles? A.5.182 B.5.256 C.5.060 D.none of the other options E. 5.213

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