A linear response model for sales
In the past, the brewery ran several price promotion campaigns that are causing price levels to vary. Now, the marketing manager wants to know to what extent these price changes influenced sales.
You start explaining the effect of changes in PRICE
to changes in SALES
by using the linear model function lm()
. The lm()
function requires the specification of the sales - price relation via the formula argument SALES ~ PRICE
. The estimated coefficients for the linear sales response model can be obtained by using the function coef()
.
Diese Übung ist Teil des Kurses
Building Response Models in R
Anleitung zur Übung
- Explain
SALES
byPRICE
. Use the functionlm()
and assign the result to an object calledlinear.model
. - Obtain the model coefficients of the
linear.model
object by using the functioncoef()
.
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Explain SALES by PRICE
linear.model <- ___(___ ~ ___, data = sales.data)
# Obtain the model coefficients