A regression model to predict Y, the state burglary rate per 100,000 people for 2005, used the following four state predictors: X1 = median age in 2005, X2 = number of 2005 bankruptcies, X3 = 2004 federal expenditures per capita (a leading predictor), and X4: 2005 high school graduation percentage. to] Fill in the values in the table given here for a twotailed test at a = 0.01 with 36 d_f_ (Negative values should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round your tvalues to 3 decimal places and p-values to 4 decimal places} Predictor Cneicient SE fcalc pvalue Intercept 4, 9018666 793 . 6844 o Age'led 25 .434 12.1511 Bankrupt 1a .9533 12.6122 FedSpend 6.816? 3.3128 Hscmdx - 3e . as 59 7 . 1543 [b4] What is the critical value of Student's tin appendix 0 for a twotailec test at a: .01 with 36 d_f? {Round your answer to 3 decimal place s.} tvalue = lb-Z} Choose the correct option. 0 Only Bankrupt differs signicantly from zero. (*3 Only HSGrad% differs significantly from zero. 0 Only FedSpend differs signicantly from zero