Question 16 A model to estimate House Price based upon the size of the house (Space) and the number of bedrooms (Beds), resulted in the following output. Our model is Price = 178,184 + 161.25Space +28,725.47Bed. A 1,000 square foot house with 3 bedrooms Regression Statistics Multiple R 0.7894068 R Square 0.623163 Adjust& R Square 0.6140826 Standard Error 83682.642 Observations 86 Coefficientsandard Errc Intercept 173184.37 35966.22 Space 161.25873 22.46425 Bed 28725.469 5530.864 Selected answer will be automatically saved. For keyboard navigation, press up/down arrow keys to select an answer. a Is likely to sell for exactly $420,620.Question 14 A discriminant function to classify transactions as fraudulent or valid Selected answer will be automatically saved. For keyboard navigation, press up/down arrow keys to select an answer. a Is used to estimate the probability that a case is fraudulent. b is a type of regression equation. C Is a function that separates the majority of values into two groups. d Is the same as cluster analysis.W Which of the following is true about using multiple regression to do classification? Selected answer will be automatically saved. For keyboard navigation, press up/down arrow keys to select an answer. a Predictor variables must be numeric. b Predicted values of the target variable are between 0 and 1.. C Classifications are based upon whether the probability estimate is greater or less than a threshold value. d R-square measures the percentage of classifications that are correct. SavedSelected answer will be automatically saved. For keyboard navigation, press up/down arrow keys to select an answer. a Is likely to sell for exactly $420,620. b is likely to sell for 62.39% of the estimated Price. c is likely to sell for at least $420,620. d will often sell for $83,683 more or less than the estimated price of $420,620. V Saved