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A regression analysis was conducted to investigate the factors that affect the sale price of oceanside condo units on the eastern coast of Florida. The following data were recorded for each of the 209 units sold. price = sale price in $1000s floor = floor height (floors 1 through 8 in the building) dist a distance from the elevator, measured on a scale from 1 to 15 view = 1 if the unit has an ocean view, otherwise. furnish - 1 if the unit is furnished:0 otherwise. The Excel output for the following model (Model 1) was given below. Model 1: price fo+Bifloor + B dist+By view + Bafurnish + B floor. dist ++ ANOVA df SS MS F 5 Regression Residual 119121.962 238892.775 Total 208 Coefficients t Stat Standard Error 12.036 Intercept floor dist 11.658 -0.669 P-value 0.000 0.504 0.000 3.893 140.319 -1010 3.204 40.708 32.285 -0.341 view furnish floor dist 1.510 0.823 3.437 9.512 0.165 Use Model 1 to answer parts a-t. a. Interpret the coefficient of the variable furnish". The difference in mean sale price between furnished units and unfurnished units is $32 285, holding all other variables constant e mean sale price will increase by $32 285 for a one-unit increase in the variable furnish"holding all other variables constant The difference in mean sale price between furnished units and unfurnished units is $32 285, holding all other variables constant The mean sale price will increase by $32,285 for a one-unit increase in the variable furnish", holding all other variables constant EN b. What percentage of the variation in sale price has been explained by the regression model? unt oard 50.1% 3 ps Question 33 2.5 pts cCompute adjusted coefficient of determination R) 8873 0:22 78.67% 0,45% Question 34 2.5 pts d - Conduct an test to determine the overall significance of the relationship. Use 0.05. Compute the test statistic value Question 35 2 pts d-). What is the p-value