Question: A regression model to predict Y , the state burglary rate per 100,000 people, used the following four state predictors: X 1 = median age,

A regression model to predict Y, the state burglary rate per 100,000 people, used the following four state predictors: X₁ = median age, X₂ = number of bankruptcies per 1,000 population, X₃ = federal expenditures per capita (a leading predictor), and X₄ = high school graduation percentage.

(a) Using the sample size of 50 people, calculate the tcalc and p-value in the table given below. (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 4,414.1682 797.4268 AgeMed -25.6740 12.4815 Bankrupt 17.8059 12.3818 FedSpend -0.0170 0.0193 HSGrad% -30.1905 7.1988

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