I need the code to create the correct output

Scenario

You are a data analyst working for a real estate company. You have access to a large set of historical data that you can use to analyze relationships between different attributes of a house $($such as square footage or the number of bathrooms$)$and the house$$s selling price. You have been asked to create different regression models to predict sale prices for houses based on critical variable factors. These regression models will help your company set better prices when listing a home for a client. Setting better prices will ensure that listings can be sold within a reasonable amount of time.

There are several variables in this data set, but you will be working with the following important variables:

Price $=$Sale price of the home

bedrooms $=$Number of bedrooms

bathrooms $=$Number of bathrooms

sqft$\_$living $=$Size of the living area in sqft

sqft$\_$above $=$Sise of upper level in sqft

age $=$Age of the home

appliance$\_$grade $=$Measure of craftsmanship and the quality of materials used to build the home

crime $=$Crime rate per $100,000$people

backyard $=$Home has a backyard $($backyard$=1)$or not $($backyard$=0)$

school$\_$rating $=$Average rating of schools in the area

view $=$Home backs out to a lake $($view$=2),$backs out to trees $($view$=1),$or backs out to a road $($view$=0)$

housing read$.$csv$($file$=$"housing$\_$v$2.$csv$",$header$=$TRUE, sep$=",")$

# converting appropriate variables to factors

housing within$($housing$,\{$

$$ view factor$($view$)$

$$ backyard factor$($backyard$)$

$\})$

# number of columns

ncol$($housing$)$

# number of rows

nrow$($housing$)$

$23$

$2692$