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pints A regression model to predict Y, the state burglary rate per 100,000 people, used the following four state predictors: X2 = median age, Xz

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pints A regression model to predict Y, the state burglary rate per 100,000 people, used the following four state predictors: X2 = median age, Xz = number of bankruptcies per 1,000 population, X; = federal expenditures per capita (a leading predictor), and Xx = high school graduation percentage click here for the Excel Data File 03.57.49 eBook Hint (a) Using the sample size of 38 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 to 4 decimal places.) References teate p.value Predictor Intercopt Ago Mod Bankrupt Fodspond HSGrad Coefficient 4.761.0570 30.8670 19.4063 -0.0183 25.0664 SE 797.1734 12.9595 12.8931 0.0103 7.1878 (6-1) What is the critical value of Student's f in Argendik D for a two-talled test at a 01? (Round your answer to 3 decimal places.) 03:57.36 (5-1) What is the critical value of Student's t in Arpendix D for a two-toled test at a= 2017 (Round your answer to 3 decimal places.) Book I-value References (6-2) Choose the correct option Only Bankrupt differs significantly from zero. Only FedSpend differs significantly from zero. Only HSGrad differs significantly from zero

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