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The EV “Bathrooms”
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]
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]