The output below is from a multiple linear regression analysis done by an area realty group. The analysis is intended to link y, the time that a house listed for sale remains on the market, to the size of the house (x1), the listing price (x2), and the age of the house (x3).
a. Identify and interpret the estimated regression coefficients for x1, x2, and x3.
b. Fill in the values of Multiple R and R Square.
c. Show that the standard error of estimate that appears in row 4 of the Regression Statistics section of the table is equal to the square root of SSE/(n – k – 1), where n = number of observations and k = number of independent variables.

  • CreatedJuly 16, 2015
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