ImpAnalyze Specialized Modeling Time Series Time Series Sales (in millions of $) 16 514 Sales in millions of 5) 12 10 8

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Impanalyze Specialized Modeling Time Series Time Series Sales In Millions Of 16 514 Sales In Millions Of 5 12 10 8 1 (59.95 KiB) Viewed 23 times

Impanalyze Specialized Modeling Time Series Time Series Sales In Millions Of 16 514 Sales In Millions Of 5 12 10 8 2 (41.59 KiB) Viewed 23 times

ImpAnalyze Specialized Modeling Time Series Time Series Sales (in millions of $) 16 514 Sales in millions of 5) 12 10 8 6 A Mean 9.352381 St 3.4346441 N 21 Zero Mean ADF - 101733 Single Mean ADF 4.156074 Trend ADF -4.198053 8 12 16 20 [2] Fit the following multiple linear regression model using dummy variables to account for the seasonal differences De = bo + byt + bozQ2 + bosQ3 + boxQ where t is the number of the quarter. The value t = 1 is Winter 2016, Q2 = 1 if Spring and otherwise Q = 1 if Summer and otherwise Q. = 1 if Fall and otherwise I Imp output should indude Summary of Fit, Analysis of Variance, Parameter Estimates with confidence intervals. Summary of Fit RSquare 0.996836 RSquare Ad) 0.996045 Root Mean Square Error 0.22133 Mean of Response 9.352381 Observations (or Sum Wgts) 21 Analysis of Variance Sum of Source DF Squares Mean Square FRatio Model 4 24694859 61.7371 1260.280 Error 16 0.78379 0.0490 Prob > F Total 20 247.73238 20001 4 Parameter Estimates Term Estimate Std Error t Ratio Prob>It Lower 95% Upper 95% Intercept 6.3157895 0.126348 49.99 0001 6.0479447 6.5836342 t 0.0894737 0.008028 11.14 <0001 0.0724541 0.1064933 Q2 -1.810526 0.134262 -1349 20001 -2.095149 -1.525903 Q3 3.4 0.134022 2537 < 0001" 3.1158865 3.6841135 04 7.0305263 0.134262 5236200019 6.7459035 7.3151492

[3] Use the Word Equation editor to type equation with estimates of coefficients below. Round coefficients to three decimals. <click on the equation and fill in the () with the correct value of the regression coefficient. > Ņt = (0) + ()t + ()Q2 + (0)23 + . [4] Ignoring trend, interpret the coefficient for Qz [5] Use the model to forecast the sales in millions of dollars for the last three quarters of 2022. Round values to three decimals. Year Quarter Forecast Sales (in millions of $) 2022 Spring Summer Fall