A regression model to predict Y, the state-by-state burglary crime rate per 100,000 people, used the following four state predictors: X₁=median age. X₂ = number of bankruptcies per 1,000 people, X3 = federal expenditures per capita, and X4 = high school graduationpercentage.PredictorInterceptAgeMedBankruptCoefficient4,198.5888-27.354017.4893-0.0124FedSpendHSGrad%-29.0314Click here for the Excel Data File(a) Write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be Indicated by a minussign.)|ŷ =4,670.7702 +-26.3560 AgeMed +(b-1) The state-by-state crime rate per 100,000O decreases by about 17 as the state median age increases.O increases by about 27 as the state median age decreases.O increases by about 20 as the state median age decreases.O decreases by about 27 as the state median age increases.(b-2) The state-by-state crime rate per 100,000X Answer is complete but not entirely correct.-0.0235 FedSpend +18.1809 Bankrupt +(b-3) The state-by-state crime rate per 100,000O decreases by about 7 for every 1,000 new bankruptcies filed.O increases by about 17 for every 1,000 new bankruptcies filed.O increases by about 27 for every 1,000 new bankruptcies filed.O decreases by about 17 for every 1,000 new bankruptcies filed.O decreases by .025 for each dollar increase in federal funding per person.O increases by .0124 for each dollar increase in federal funding per person.O decreases by .0124 for each dollar increase in federal funding per person.O increases bv .05 for each dollar increase in federal funding per person.-25.9597 HSGrad%6 (b-4) The state-by-state crime rate per 100,000Ⓒincreases by about 29 for each 1% increase in high school graduations.increases by about 19 for each 1% increase in high school graduations.decreases by about 19 for each 1% increase in high school graduations.decreases by about 29 for each 1% increase in high school graduations.(c) Would the intercept seem to have meaning in this regression?YesO No(d) Make a prediction for Burglary when X₂ = 35 years, X₂ = 7.0 bankruptcies per 1,000, X3 = $6,000, and X4 = 80 percent.Burglary Rate

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You can use a statistical technique called simple linear regression to comprehend the 
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ercept Med krupt Spend rad% Coeffit Lent 4,198.5888 -27.3540 17.4893 -0.0124 -29.0314 ick here for the Excel Data File rite the fitted regression equation. (Round your answers to 4 decimal places. Negative values shoul ) Answer is complete but not ent