Based 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 8Based on the Module 2 reading, "Regression”, the author’s research revealed that adding an additional washroom had a bigger impact than adding what type of room?1 pointTheater roomBedroomDining roomPlayroom

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 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.

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.)

The following rearession model studies the effect of size of house (Sar ft) and number of bedrooms ( Bdrm.s) on the price of ahouselog(Price) = B0+ B1Srft + B2 Bdrms + UWe can test the null hypothesis that B1 =B2 , by reparameterising the model, where we regress log( Price) on the following twovariables: