|Adjusted R Square||0.601447658|
|Coefficients||Standard Error||t Stat||P-value||Lower 95%||Upper 95%||Lower 95.0%||Upper 95.0%|
1) Is there constant seasonality; increasing/decreasing seasonality; a trend; or no time effect at all from the linear regression analysis shown above? And why?
2) Are models with seasonality (Q1, Q2, Q3 included) better than models without? Why?
we can form the regression equation based on the coefficients as
Y = -53.17 +2.05*advertsing -4.04*t + 19.42*q1 +23.03*q2 +20.94*q3
we see that the coeffecient of q2 is higher than that of q1 and q3 , which means in q2 the sale is effected by 23.03 units , hence apparently there appears to be a seasonality , with high sales in q2
for the second part , we simply compare the r2 value of the seasonal model with the r2 value of the non seasonal model, if this value is less than 0.7826 (r2 of seasonal model) then seasonal model is better else non seasonal model would be better. However , without the data we cant run the regression
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