A10 - Weihan Ni A20252394 MBA 507 Decision Making...

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Weihan Ni A20252394 MBA 507 Decision Making Assignment 10 17.26 a) Re-express to straighten the relationship. b) Re-express to equalize the spread. c) No re-expression needed. 17.28 a) The R 2 of 95.5% says that 95.5% of the variance in the Net Sales at Home Depot can be accounted for by growth over time. b) The residuals show increasing spread over time and strong seasonal fluctuation. There may be slight bend seen mostly by following the midsummer and midwinter points (times with a 0.0 or 0.5). c) The increasing spread might be improved with a re-expression. The seasonal fluctuation won’t be improved by any transformation of the data. d) Although several conditions are not met, the overall growth of Net Sales is clear and the regression model accounts for much of it. But the model should be used with caution. 17.40 The relationship fails the linearity condition (especially evident in the plot of residuals) The model expressing LogDecade in logs makes a better model. R 2 =98.7%
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The scatterplot shown below is fairly linear however the residual plot is curved indicating that a linear model is not appropriate. A model that keeps the linearity and gives a residual plot without pattern or spread is: = 1.6 + 0.00112NumberofOranges/Tree No violations of assumptions or conditions evident. 18.2
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A10 - Weihan Ni A20252394 MBA 507 Decision Making...

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