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A realtor is trying to predict the selling price of houses in Greenville (in thousands of dollars) as a function of Size (measured in thousands of square feet) and whether or not there is a fireplace (FP is 0 if there is no fireplace, 1 if there is a fireplace). The regression output is provided below. Some of the information has been omitted.Sources of variation SS df MS FRegression 3177.17 2 1588.584 Residual 17 17.71713 Total 3478.36 19 How many predictors (independent variables)were used in the regression?
A) 20
B) 18
C) 3
D) 2

Respuesta :

Answer: B) 18

Step-by-step explanation: It is also widely used for predicting the value of one dependent variable from the values of two or more independent variables. When there are two or more independent variables, it is called multiple regression

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The number of independent variables or predictors present in the regression model is 3.

  • The number of independent variables can be obtained from an ANOVA table of the degree of freedom column of corresponding to Regression

  • The Regression degree of Freedom usually denoted as k - 1 ; where k is the number of independent variables.

  • From the ANOVA table given ; k - 1 = 2

  • The value of k = 2 + 1 = 3 ; Therefore, the value of k in the regression table is 3.

Therefore, the number of predictors in the regression is 3.

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