A regression model to predict Y, the state-by-state 2005 burlary crime rate per 100,000 people, used the following four state predictors : X1,= median age in 2005 X2= number of 2005 bankruptcies per 1,000 people, X3= 2004 federal expenditures per capita, and ( a leading predict) and X4 =2005 high school graduation persentage

Fill in the values in the table given here for a two-tailed at =0.01 with 43 d.f.

Predictor Coefficient SE Tcalc p-value

Intercept 4,303.7622 793.4764

AgeMed -28.090 12.1567

Bankrupt 15.7639 12.4359

FedSpend -0.0179 0.0114

HSGrad % -26.2752 7.1665