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 load a dataset containing house prices. The independent variables are size, number.bathrooms, number.bedrooms, number.entrances, size_balcony, and size_entrance. We will then do a few complex hypothesis tests:
- We first load the dataset and do our model:
library(multcomp) data = read.csv("./house_prices.csv") model = lm(Property_price ~ size + number.bathrooms + number.bedrooms + number.entrances + size_balcony + size_entrance,data=data)
Take a look at the following screenshot:
- We could ask the following question: since the size has a coefficient of 5.6, and the sum of the coefficients for number_bedrooms ...
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