A regression model to predict Y, the state burglary rate per 100,000 people for 2005,...
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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 = 0.01 with 45 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 p-values to 4 decimal places.)
Predictor
Coefficient
SE
tcalc
p-value
Intercept
4,399.6726
793.4196
AgeMed
-28.943
12.6607
Bankrupt
20.1991
12.2935
FedSpend
-0.0197
0.0151
HSGrad%
-26.2993
7.1254
(b-1) What is the critical value of Student's t in Appendix D for a two-tailed test at = .01 with 45 d.f? (Round your answer to 3 decimal places.)t-value = (b-2) Choose the correct option.
multiple choice
Only FedSpend differs significantly from zero.
Only HSGrad% differs significantly from zero.
Only Bankrupt differs significantly from zero.
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