Question
One slide introducing your project (approximately 1 minute): One to two slides of visuals (approximately 2-3 minutes). oThese should be clear, neat, organized, and labeled.
One slide introducing your project (approximately 1 minute):
One to two slides of visuals (approximately 2-3 minutes).
oThese should be clear, neat, organized, and labeled. oVisuals must include the correlation coefficient, a scatter plot without regression
line, a scatter plot with the regression line, the regression equation, R-squared,
etc.
oShow the price prediction/forecast (based on 2,100 sf home).One slide for a conclusion (approximately 1 minute).
oDiscuss what you learned from this project.Include detailed speaker notes for each slide.
Considerthe following questions when creating your speaker notes:
What city did you choose, why?
Did you have any a prior feelings about how the variables would correlate with each
other (strong, weak, none)?
What is the explanatory variable, what is the response variable? Make sure
"explanatory" variable is the "x-axis".
What a linear model a good fit? Do you think some other non-linear model might fit
better?
Did your opinion of the relationship change from having the scatter plot alone to having
the scatter plot with regression line (and R-squared)?
What proportion of the variation in listing price is determined by variation in the square footage? What proportion of the variation in listing price is due to other factors?
Check the coefficients in your summary output. What is the regression equation relating square footage to listing price?
Using the regression equation that you designated above, what is the predicted sales price for a house of 2100 square feet?
Directions: Searchthe Internet for a realty site.
When all of the listings populate, make sure that the sort criteria reads "New Listings." This ensures that you are searching a random cross-section of listings rather than favoring one price range.
Reviewthe new listings that populate. Createan Excelspreadsheet with the first 30 single family homes listed, not including
condominiums or townhouses. Example of what you are looking for in Model (notice the regression equation in "red"):
$7,000,000.00 $6,000,000.00 $5,000,000.00 $4,000,000.00 $3,000,000.00 $2,000,000.00 $1,000,000.00
$0.00
y = 19.699x + 1E+06 R2 = 0.0053
LA Houses Analysis
- 5,000
10,000 15,000 20,000Square feet
25,000
Price Linear (Price)
Price
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started