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).
Deze oefening maakt deel uit van de cursus
Building Response Models in R
Oefeninstructies
- Obtain the R-squared measures and the P-values for the
extended.modelobject by using the functionsummary().
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# 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