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The effect of multiple dummies on sales

The brewery also distributed manufacturer coupons, offering price reductions for Hoppiness. A third marketing strategy was to combine display and coupon activity to increase volume sales.

This time, you will calculate the mean of log(SALES) for each DISPLAY, COUPON, and DISPLAYCOUPON level combination by using the function aggregate(). You can do this by successively adding the variables to the formula argument.

To describe the effects of coupon and display activity, you again estimate a linear response model by using the function lm(). As usual, you investigate the coefficients.

Este ejercicio forma parte del curso

Building Response Models in R

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Instrucciones del ejercicio

  • Calculate the mean of log(SALES) for each DISPLAY, COUPON, and DISPLAYCOUPON level combination.
  • Explain log(SALES) by DISPLAY, COUPON, and DISPLAYCOUPON. Use the function lm() and assign the result again to an object called dummy.model.
  • Obtain the coefficients of the dummy.model by using the function coef().

Ejercicio interactivo práctico

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# Mean log(SALES)
___(___ ~ ___ + ___ + ___, FUN = ___, data = sales.data)

# Explain log(SALES) by DISPLAY, COUPON and DISPLAYCOUPON
dummy.model <- ___(___ ~ ___ + ___ + ___, data = sales.data)

# Obtain the coefficients
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