Load any R Packages you may need library(mosaic) library(tidyverse) library(moderndive) The house_prices dataset from the moderndive R package contains data on over 21,000 houses from King County, WA. Because the most important piece of information for anyone on the market for a home is the price of the home, we’ll treat price as our outcome (y) variable. 1

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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# Load any R Packages you may need
library(mosaic)
library(tidyverse)
library(moderndive)

The house_prices dataset from the moderndive R package contains data on over 21,000 houses from King County, WA. Because the most important piece of information for anyone on the market for a home is the price of the home, we’ll treat price as our outcome (y) variable.

1

Construct a scatterplot of the house price (y) versus the number of bedrooms per house (x). Describe the relationship between these variables (direction, strength, form, unusual features).

# Paste your code here

2

Fit a linear regression model of price (y) as a function of bedrooms (x). Report the regression table, and interpret the estimated coefficient for bedrooms (i.e., the slope of the regression line).

# Paste your code here

3

For a multiple regression model of price (y) as a function of both bedrooms (x1) and sqft_living (x2 - see the help page for the definition of this variable). Report the regression table, and interpret the estimated coefficient for bedrooms.

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The dataset is given from the R library.

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