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QUESTION 6 Sample data for the gross income for the last months was collected. Due to the non-linear nature of the gross income, a log linear model was fitted: log (Gross Income) 2 109030) +log(131) * time The following tables show the output obtained when fitting such model: DF Sum Square Mean Square F P Value Regression 1 0.076 0.076 6.333 0.018 Error 26 0.305 0.012 Total 27 0.381 Coefficients Standard Errors T Statistic P Value Intercept 1.488 0.042 35.382 0 Time 0.006 0.003 2.543 0.017 What is the predicted gross income for the month number 29 ? :]