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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: X 1 =

A regression model to predictY, 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 (aleadingpredictor), andX4= 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 to4 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'stinAppendix Dfor 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

  • OnlyFedSpenddiffers significantly from zero.
  • OnlyHSGrad%differs significantly from zero.
  • OnlyBankruptdiffers significantly from zero.

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