An Ice Cream problem

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A scatter plot graph with weekend variable as the factor separation variable

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Surname: 1Name:Tutor:Course:Date:1.An Ice Cream problema) appropriate graphA scatter plot graph with weekend variable as the factor separation variable250Sales (Weekend=0)Sales (Weekend=1)200150100500510152025Temperature130354045Surname: 2b) The estimated linear regression model explaining Ice Cream sales.Model 1: OLS, using observations 1-30Dependent variable: SalesCoefficientStd. Errort-ratiop-valueconst-34.60587.46461-4.63600.00008***Temperature5.258710.25113220.9400<0.00001***Weekend38.17485.409457.0571<0.00001***Mean dependent var116.3000S.D. dependent var61.66268Sum squared resid5914.453S.E. of regression14.80047R-squared0.946362Adjusted R-squared0.942389F(2, 27)238.1877P-value(F)7.04e-18-121.8275Akaike criterion249.6550253.8586Hannan-Quinn250.9998Log-likelihoodSchwarz criterionc) The final estimated regression model2Surname: 3 = 34.6058 + 5.25871x1 + 38.1748x2Where y is the estimated sales, x1 the temperature and x2 the weekendd) Why is this the best model you came up with?The model offers the line of best fit which represents the data on a scatter plot by consideringthe position of all points.e) residuals plots from the final modelSince the plotted points are almost equally distributed both above and below the zero lineimplying that the residuals were normally distributed with a mean of zero.3Surna
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