Variables Entered/Removeda Variables Variables Model Entered Removed Method 1 pigmeat Enter a. Dependent Variable: ozone b. All requested variables entered. Model Summary Adjusted R Model R R Square Square 1 .7114 .505 .472 a. Predictors: (Constant), pigmeat Std. Error of the Estimate 1230.4003 F Sig. .0016 15.309 ANOVA Sum of Model Squares df Mean Square 1 Regression 23175828.3 1 23175828.3 Residual 22708272.0 15 1513884.80 Total 45884100.2 a. Dependent Variable: ozone b. Predictors: (Constant), pigmeat 16 Coefficientsa Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta 1 (Constant) 652.529 427.554 pigmeat 1.053 .269 .711 a. Dependent Variable: ozone t 1.526 3.913 Sig. .148 .001 Variables Entered/Removeda Variables Variables Model Entered Removed Method 1 pigmeat, populati a. Dependent Variable: ozone b. All requested variables entered. Enter Std. Error of the Estimate Model Summary Adjusted R Model R R Square Square 1 .941 .933 a. Predictors: (Constant), pigmeat, populati b. Dependent Variable: ozone .970a 438.5569 Mean Square F Sig. <.0016 anova sum of model squares df regression residual total a. dependent variable: ozone b. predictors: pigmeat populati coefficientsa standardized coefficients beta t unstandardized b std. error .064 .006 .146 sig. .123 .652 residuals statisticsa deviation maximum mean n minimum predicted value .0000 .000 .935 .00000 .0 a professor at the department economics hates animals. he is convinced that pigs are major source emissions destroys ozone. therefore wants to investigate impact on however gets some comments seminar and told also needs include variable population in model. dataset ozone.sav you find data for produced population. this question should estimate simple linear models where only independent variable. then second multiple variables finally save from make scatterplot y-axis x-axis. comment difference between estimated do reject null hypothesis does not have an effect both why observe regarding by looking variance term look constant or c. what consequence testing f-tests if one finds non-constant>