Each year a nationally recognized publication conducts its 'survey of america's best graduate and professional schools.' an academic advisor wants to predict the typical starting salary of a graduate at a top business school using gmat score of the school as a predictor variable. total gmat scores range from 200 to 800. a simple linear regression of salary versus gmat using 25 data points yields the regression equation given below. y = 228x - 92,040 give an interpretation of the y-intercept. the value has no practical interpretation since a gmat of 0 is nonsensical and outside the range of the sample data. we estimate the base salary of graduates of a top business school to be $-92,040. we estimate salary to decrease $92,040 for every 1-point increase in gmat. we expect to predict salary to within 2(92040) = $184,080 of its true value using gmat in a straight-line model.