Model Summary Adjusted Sto . Error of Model F` R Square F. EquaTE the Estimate* 125 259073. 710 2. Predictors : [ Constant ; , Total Police...

a.                  What is the IV?  

b.                 What is the DV?  

c.                  What is the Ho?  

d.                 What is the H1?  

e.                  Based on your review of the output, do you accept or reject the null hypothesis? (Note: You do not have to perform the 5-step hypothesis testing method. Just interpret what is on the output.) Clearly explain why you decided to either reject or fail to reject the null hypothesis. .

f.                   What is the regression equation based on the information present in the output?

g.                 If you reject the null hypothesis, how do you interpret the slope?

h.                 If the slope for the IV is significant, how strong is its effect?  

i.                    How much does the IV explain the DV?

Model SummaryAdjustedSto . Error ofModelF`R SquareF. EquaTEthe Estimate*125259073. 7102. Predictors : [ Constant ; , Total Police Protection FERCapital Expenditures 199.9ANOVALSum ofModelSquare 'sIfMean Square*FGig .Regression4. GE + 0 1 14. 604E + 0 1 16. 860. 0 172\Residual3 . 2 E + 0 12G. TIZE + 0 10Total3. TE + 01249a. Predictors : [ Constant ) , Total Police Protection Fer Capital Expenditures 199.96. Dependent Variable : Crime Index Total 2003Coefficients*UnstandardizedStandardizedCoefficients_CoefficientsE| Sto . ErrorElEtaIGig .Constant*- 1346801460 1 4. 8- 422JETTotal Police*Protection Per Capita2193.908837 . 6EZ3542. 610. 012Expenditure = 199.92. LEPENdent Variable: Crime Index Total 200.3