$5.$ What are the four assumptions required in order for ordinary least squares to be unbiased?

$6.$Now we would like to use data to run the house price regression. Download the excel document called hprice$1.$xls from D$2$L$.$ Open R$,$ create a new script and paste the following into the window $($make sure the packages are installed$)$:

#######################################

# Install and load the tidyverse package

install.packages$("$tidyverse$")$

install.packages$("$readxl$")$

install.packages$("$ggplot$2")$

library$($tidyverse$)$

library$($readxl$)$

library$($ggplot$2)$

# Read the excel file

data $<-$ read$\_$excel$("$C:$/$ hprice$1.$xls$")$

# Run simple regression

model $<-$ lm$($data$price ~ data$bdrms$)$

# Summarize the model

summary$($model$)$

##################################################

Be sure to change the file path to wherever you put the data on your computer. Now highlight all of the code and hit the $$run line or selection$$ button. Paste the result from the summary below.

$7.$What is the value for $1?$ How should we interpret this value?

$8.$What is the value for R$2?$ How should we interpret this value?