What is the for the regression of percent body fat (Y) on abdominal circumference (X). Interpret this quantity. (2 pts.) Use Analyze > Fit Y by X to fit a regression line to these data. How does the estimate regression line compare to your estimate of found in part (c) above? (2 pts.) How does the RMSE and for the regression line fit part (e) compare to your estimate of from part (c) and your R-square estimate from part (d)? (2 pts.) 3 List Price ($) and Finished Living Area (ft2.) for Minneapolis and St. Paul – These data were obtained using a real estate browsing site called Redfin ® (www.redfin.com). By using this site you can search numerous metropolitan areas for homes currently on the market within in the U.S. using a mapping tool and then download numerous characteristics of the properties on the map into a .csv file. Data Source: Data File: Twin Cities Homes.JMP and Twin Cities Homes.txt The variables in this data file are: City (city or suburb the home is located in) ZIP ZIP code – ListPrice current list price of the home ($) – BEDS number of bedrooms – BATHS number of bathrooms – SQFT square footage of the finished living area (ft2) – LotSize square footage of the lot (ft2) – Age age of the home in years – HasGarage categorical variable (Garage or No Garage) – LATITUDE latitude of the home – LONGITUDE longitude of the home –
What is the for the regression of percent body fat (Y) on abdominal circumference (X). Interpret this quantity. (2 pts.) Use Analyze > Fit Y by X to fit a regression line to these data. How does the estimate regression line compare to your estimate of found in part (c) above? (2 pts.) How does the RMSE and for the regression line fit part (e) compare to your estimate of from part (c) and your R-square estimate from part (d)? (2 pts.) 3 – List Price ($) and Finished Living Area (ft2.) for Minneapolis and St. Paul These data were obtained using a real estate browsing site called Redfin ® (www.redfin.com). By using this site you can search numerous metropolitan areas for homes currently on the market within in the U.S. using a mapping tool and then download numerous characteristics of the properties on the map into a .csv file. Data Source: Data File: Twin Cities Homes.JMP and Twin Cities Homes.txt The variables in this data file are: City (city or suburb the home is located in) ZIP – ZIP code ListPrice – current list price of the home ($) BEDS – number of bedrooms BATHS – number of bathrooms SQFT – square footage of the finished living area (ft2) LotSize – square footage of the lot (ft2) Age – age of the home in years HasGarage – categorical variable (Garage or No Garage) LATITUDE – latitude of the home LONGITUDE – longitude of the home
Assignment%202%20(Fall%202017).docx