Question 7Based on the Module 2 reading, "Regression”, the author’s research on residential real estate properties quantified what?1 pointThe relationship between housing and transportation.That people hold no basic perceptions on real estate properties.The magnitude of relationships between housing prices and different determinants.The likelihood of a house selling rapidly.

Based on the Module 2 reading, "Regression”, the real added value of the author's research on what type of properties is quantifying the magnitude of relationships between housing prices and different determinants?1 pointCommercial real estateForeclosed Residential real estateVacant

Question 3Based on the reading, which of the following are questions that can be put to regression analysis?1 pointDo homes with brick exterior sell for less than homes with stone exterior?What are typical land taxes in a house sale?Do homes with brick exterior sell in rural areas?What is the impact of lot size on housing price?

Question 8Based on the Module 2 reading, "Regression”, what did the author's research reveal about the impact of an additional washroom on the price of a housing unit?1 pointThe author found that an additional bedroom adds more to the housing prices than an additional washroom.The author found that an additional washroom did not have any impact on the pricing of a housing unit.The author found that an additional washroom adds more to the housing prices than an additional bedroom.The author found that an additional bedroom adds the same to the housing prices than an additional washroom. In other words, any additional room results in an equal increase to the housing prices.

Question 6Your friend in the U.S. gives you a simple regression fit for predicting house prices from square feet. The estimated intercept is -44850 and the estimated slope is 280.76. You believe that your housing market behaves very similarly, but houses are measured in square meters. To make predictions for inputs in square meters, what slope must you use? Hint: there are 0.092903 square meters in 1 square foot. You do not need to round your answer.1 point

An agent for a real estate company in a large city would like to be able to predict the monthly rental cost for apartments,based on the size of the apartment,as defined by square footage.A sample of eight apartments in a neighborhood was selected,and the information gathered revealed the data shown below.For these data,the regression coefficients are bo=373.5333 and b1=0.8553.Complete parts(a)through(d). Monthly Rent($); 9001,500,800,1600,1950,925,1825,1400, Size(Square Feet);850,1300,1050,1100,2000,650,1350,950 a.Determine the coefficient of determination, and interpret its (Round to three decimal places as needed.)