March 2019
Beginner to intermediate
448 pages
13h 14m
English
Content preview from R Statistics Cookbook
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How to do it...
In this exercise we will detect variables that are correlated using a dataset containing prices for several apparel categories. The target variable will be the sales, but we will need to make sure that we treat all the correlations accordingly.We will first load our dataset. It contains the following variables:
"Sales", "women_apparel_price", "male_apparel_price", "shoes_female_price", "shoes_male_price", "shoes_kids_prices", "shoes_male_price.1" and "prices_shoes".
What we want to model are Sales in terms of all the other variables: female/male apparel price, female/male shoes price, female/kids/male shoes price, and shoe prices in general (we will explain in step 2, the significance of this last variable). The problem ...
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