Sta302 -- Assignment two

 Sta302 - Assignment a couple of Essay

STA302 – Assignment two 1) Through the Scatterplot of Revenue vs . Circulation, it is usually seen that the variance from the dependent adjustable, Revenue, can be increasing. This is certainly a infringement of the Gauss-Markov condition of regular variance in the error conditions. Also, since a geradlinig relationship seems appropriate, transformation of the dependent and independent variables are necessary. 2) Fitting polynomial models towards the data could possibly be better than fitting a straight series model to the untransformed info because this provides for curvature and may fit the info more carefully. However , this might not become sufficient as it does not account for non-constant variance. 3) The natural sign transformation of both parameters provides the best model of three. From the plot of the Regression Line intended for lnRevenue versus lnCirculation, it could be seen which the points happen to be relatively evenly scattered surrounding the regression line. Also, the nonconstant difference seems to be set. This is apparent in your plot of the residuals versus predicted values, as the points will be randomly scattered about the center line. The square root transformation of both factors improves linearity, as mentioned in the storyline of the Regression Line pertaining to sqrtRevenue vs . sqrtCirculation, but does not fix the problem of non-constant variance. This is clearly noticed in the story of the commissions vs . forecasted values. The points are certainly not randomly dispersed around the middle line, nevertheless seem to be bunched up on the left side and spread outwards, indicating elevating variance. The inverse change of equally variables would not improve linearity, as curvature can be seen in the plot from the Regression Series for invRevenue vs . invCirculation. Although nonconstant variance is definitely slightly increased over the square root alteration, as can be observed in the story of the commissions vs . predicted values, it is still too little. Therefore , both equally variables natural log converted seems to be the very best model of three choices. 4) The version used can be...


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