1. 1. Explain if a regression model is appropriate to develop based on your scatterplot.
2. Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.
   2. Identify any possible outliers or influential points and discuss their effect on the correlation.
   3. Discuss keeping or removing outlier data points and what impact your decision would have on your model.
3. Find r: Find the correlation coefficient (r).
   1. Explain how the r value you calculated supports what you noticed in your scatterplot.
       

Transcribed Image Text:

Median Listing Price 900,000 800,000 700,000 600,000 500,000 400,000 300,000 200,000 100,000 Price Per Sq. Ft. 0.830723 y = 118.16x + 92798 R² = 0.6901 1,000 2,000 3,000 4,000 5,000 Median Square Feet ● 6,000 7,000 Median Listing Price 900,000 800,000 700,000 600,000 500,000 400,000 300,000 200,000 100,000 Price Per Sq. Ft. 0.830723 y = 118.16x + 92798 R² = 0.6901 1,000 2,000 3,000 4,000 5,000 Median Square Feet ● 6,000 7,000

Answer rating: 100% (QA)

a The scatter plot shows there is a linear relationship between price and area l... View the full answer