UK: +44 748 007-0908, USA: +1 917 810-5386 [email protected]

The EV “Bathrooms”

  1. Draw a random sample of 50 public high schools in New Jersey using simple random sampling (SRS).
    Include your sampling frames and show your screen shots of the research randomizer. [10]
  2. The regression model below examines factors that impact the DV home sale price among recently sold homes in a suburban community. The IV is total rooms within the home, and the EVs include 1) total bedrooms, 2) total bathrooms, 3) whether the home has a basement or not, and 4) the total number of days the home was on the market prior to its sale. Please answer the following regarding the regression output below:
    A) Identify the variables that are statistically significant predictors (at the five percent level) of a home’s sale price. Explain what metrics you examined to determine each variable’s statistical significance. [10]
    B) Explain what the coefficient for the EV “Bathrooms” means. [3] C) Explain what the coefficient for the EV “Basement” means. [3] D) What does the model’s R-squared indicate? [4]

Ready to Score Higher Grades?