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Question 32 2 pts 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 = distance from the elevator, measured on a scale from 1 to 15 view = 1 if the unit has an ocean view: 0 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 = Ro + B floor + B2dist + Bzview + Bufurnish + Bs floor *dist + E ANOVA MS F Regression Residual Total Intercept floor df SS 5 119121.962 208 238892.775 Coefficients Standard Error 140.319 12.036 - 1.010 3.204 0.823 40.708 3.437 32.285 9,512 -0.341 0.165 t Stat 11.658 -0.669 3.893 P-value 0.000 0.504 1.510 dist 0.000 view furnish floor'dist Use Model 1 to answer parts a - f. a. Interpret the coefficient of the variable "furnish". The 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 pe ished units is $32.285. 6:03 PM Fri Aug 13 1 LTE27% Take Quiz Exit D Question 36 2 pts d-(1). What is the p-value? Op-value is between 0.01 to 0.025 p-value is less than 0.01 O p-value is between 0.05 to 0.1 Op-value is between 0.025 to 0.05 D Question 37 2 pts d-(1). Find the critical value. Question 38 1.5 pts d - (iv). What is your conclusion? Do not reject Ho. The regression relationship is significant Reject Ho. The regression relationship is significant. Do not reject Ho. The regression relationship is not significant. Reject Ho. The regression relationship is not significant D Question 39 3 3 pts e-1). Conduct at test to determine whether the sale price of a condo unit with an ocean