The tables show the variables of Environmental Index (the dependent variable), age (first independent variable) and political views (the second independent variable).

Help tell a story of what these models are telling us. This is a nested model problem.

1. Tables that present both models of the simple regression that investigates the relationship between age and environmental views. Then, add political views to the regression model. (Use the outputs to answer the following questions).

(Second independent variable = XYlibcon self) 1. Create a table that presents both models. This is a nested model problem. Correlations Environmenta Political I Index Age in Years Views Pearson Correlation Environmental Index 1000 141 .536 Descriptive Statistics Age in Years 141 1.000 Political Views 536 128 Mean 1.080 Std. Deviation Z Sig. (1-tailed) Environmental Index .001 Environmental Index 16.77 7.044 4434 Age in Years 000 000 Political Views 000 000 Age in Years 50.5568 16.09625 4434 Environmental Index 4434 4434 4434 Political Views 3.17 1.495 Age in Years 4434 4434 4434 4434 Political Views 4434 4434 4434 ANOVA Coefficients Sum of Standardized Model Squares Mean Square Sig Unstandardized Coefficients Coefficients Regression 64355.473 32177.737 916.436 000 Model D Std. Error Beta Sig N Residual 155580.466 4431 35.112 (Constant) 26.261 331 79.235 000 4 Total 219935.940 1433 Age in Years .032 006 .074 5.785 <.001 a. dependent variable: environmental index political views b. predictors: age in years model summary adjusted r std. error of square the estimate>