Please give a thorough analysis of the results listed below. Utilize evidence from your results/data to support your explanation.

Variables Entered/Removed Variables Variables Model Entered Removed Method Category, Enter AgeNumbers b a. Dependent Variable: Lived Poverty Index (average index of 5 poverty items) b. Tolerance = .000 limit reached.Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 044 .002 .002 9449 a. Predictors: (Constant), Category, AgeNumbersANOVA" Sum of Model Squares df Mean Square F Sig Regression 22.024 2 11.012 12.333 000 Residual 11316.443 12674 .893 Total 11338.467 12676 a. Dependent Variable: Lived Poverty Index (average index of 5 poverty items) b. Predictors: (Constant), Category, AgeNumbersCoefficients" Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. (Constant) 1.210 .011 105.897 000 AgeNumbers 092 020 .043 4.663 000 Category 067 .022 028 3.012 003 a. Dependent Variable: Lived Poverty Index (average index of 5 poverty items)Excluded Variables a Collinearity Partial Statistics Model Beta In Sig. Correlation Tolerance age -.023 .000 1.000 .000 5.744E-13 a. Dependent Variable: Lived Poverty Index (average index of 5 poverty items) b. Predictors in the Model: (Constant), Category, AgeNumbers