Summarizing the model
Awesome, your last model did a really good job in predicting the sales of Hoppiness. When reporting to the company, you need to quantify this achievement and give some conclusions about the importance of the marketing activities for explaining the sales of Hoppiness.
You can get what you need in a single step by simply applying the function summary() to the extended.model object. The summary() function also summarizes information on your model regarding model fit (R-squared and Adjusted R-squared) and the importance of the effects (P-values).
Diese Übung ist Teil des Kurses
Building Response Models in R
Anleitung zur Übung
- Obtain the R-squared measures and the P-values for the
extended.modelobject by using the functionsummary().
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Extend the sales resonse model
extended.model <- ___(log(SALES) ~ PRICE + Price.lag + DISPLAY + Display.lag + COUPON + Coupon.lag + DISPLAYCOUPON + DisplayCoupon.lag, data = sales.data)
# Summarize the model