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 α = 0.01 with 40 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 | 4,459.7813 | 797.7352 | |||
AgeMed | -26.190 | 12.3168 | |||
Bankrupt | 16.9037 | 12.6186 | |||
FedSpend | -0.0155 | 0.0133 | |||
HSGrad% | -30.9882 | 7.1255 | |||
(b-1) |
What is the critical value of Student's t in Appendix D for a two-tailed test at α = 0.01 with 40 d.f? (Round your answer to 3 decimal places.) |
t-value =
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a and b)
Predictor | Coefficient | SE | tcalc | p-value | t critical |
Intercept | 4,459.78 | 797.7352 | 5.591 | 0.0000 | 2.704 |
AgeMed | -26.19 | 12.3168 | -2.126 | 0.0397 | 2.704 |
Bankrupt | 16.9037 | 12.6186 | 1.340 | 0.1879 | 2.704 |
FedSpend | -0.0155 | 0.0133 | -1.165 | 0.2508 | 2.704 |
HSGrad% | -30.9882 | 7.1255 | -4.349 | 0.0001 | 2.704 |
T.DIST.2T(t stat,df) | T.INV.2T(alpha,df) |
Use the formulas below or Use t table
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