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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

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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. (a) Fill in the values in the table given here for a two-tailed test at a = 0.01 with 35 d.f. (Negative values should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round your t-values to 3 decimal places and pvalues to 4 decimal places.) Predictor Coefficient SE tcalc pvalue Intercept 4,670.7702 798.4878 AgeMed 726.356 12.7567 Bankrupt 18.1809 12.1054 FedSpend 0.0177 0.0172 HSGrad% 725.9597 7.1727 (b1) What is the critical value of Student's tin Appendix D for a two-tailed test at a = .01 with 35 d.f? (Round your answer to 3 decimal places.) tvalue =

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