mat 240 module 3-3 assignment real estate analysis part 2

questions are: explain the slope and intercept, explain what R-squared means in the concept of this analysis, Reflect on the relationship between square feet and sales price by addressing key considerations such as the comparison between your selected region and overall homes in the United States, as well as analyzing how the slope can help identify price changes, how the regression equation can help identify appropriate listing prices, and what square footage ranges the graph would be best used for

the information I have for my graph is below

Regression equation in the graph ;Y=113.01x+31622

The R squared value is 0.497934549

Mean listing price for random sample: $215,797

Median listing price for random sample: $220,150

Standard deviation of the listing price for random sample: $40140.817

Mean price per square foot: $1629.7

Median price per square foot: $1655

Standard deviation of the price per square foot: $250.6404