$14\mathrm{.}3$ HW$1\_$LAB$3$: Making predictions using SLR models

This lab will be available until June $14$th$,11$:$59$ PM EDT

The kc$\_$house$\_$data dataset contains information on house sale prices in King County, Washington from May $2014$ and May $2015.$ The

columns include sale price, number of bedrooms, and square footage of living space.

Write a program using the ols$()$ function that creating a model that takes in the square footage of living space in a house and gives the price

of the house as output.

For example, if the input is:

$1000$

the output should be:

LAB

$14\mathrm{.}3\mathrm{.}1$: HW$1\_$LAB$3$: Making predictions using SLR models

$\frac{0}{15}$

Downloadable files

kc$\_$house$\_$data.csv

Download

main.py

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