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) = log(Bo) + log(B1) * time The following tables show the output obtained when fitting such model: DF Sum Square Mean Square F P Value Regression 1 0.086 0.086 5.375 0.028 Error 28 0.44 0.016 Total 29 0.526 Coefficients Standard Errors T Statistic P Value Intercept 1.614 0.047 34.371 0 Time -0.006 0.003 -2.334 0.027 The observed value for the month 9 was 27.24 .What is the error in the prediction for this observation (difference between observed gross income and predicted gross income)