Please use RStudio to resolve this problem! Code + explanation needed. Use the "BostonHousing" dataset in GitHub. The dataset contains information about 506 houses in Boston, Massachusetts, USA with 13 different attributes. MULTILINEAR REGRESSION 1. Fit a model including the interaction term lstat and rm (percentage of lower status of the population and average number of rooms per dwelling). 2. Comment on the significance of the parameter estimates of the model above. 3. Check for the model assumptions. Thank you!!

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Please use RStudio to resolve this problem! Code + explanation needed. Use the "BostonHousing" dataset in GitHub. The dataset contains information about 506 houses in Boston, Massachusetts, USA with 13 different attributes. MULTILINEAR REGRESSION 1. Fit a model including the interaction term lstat and rm (percentage of lower status of the population and average number of rooms per dwelling). 2. Comment on the significance of the parameter estimates of the model above. 3. Check for the model assumptions. Thank you!!
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