Can you please perform a linear regression analysis. (already done below, used SAS program)

What is the R²value from this analysis? What does it mean?

What is the equation for predicting income from years of education?

Using this model, ifWilliam has16yearsofeducation,whatwouldbethe approximateexpectedyearly salary?

IfJohnhas12yearsofeducation,what approximate salarywouldheexpectonaverage?

Why, "correlation does not imply causation." What does the phrase mean as it relates to this data? What other factors may need to be considered when evaluating the meaning of this relationship, and whether it can be applied universally to all environmental technicians across the U.S.? What are some limitations that should be identified when using these results?

Education (years) Income ($ ,000s) 8 31 12 42 10 37 18 75 16 65 18 80 13 49 12 45 16 61 14 52

Fit Criteria for Education (years) Data Set WORK.IMPORT Coefficient Progression for Education (years) Dependent Variable Education come (5 000s) Selection Method Select Criterion Stop Criterion AIC Choose Criterion SBC 5 0.8 Effect Hierarchy Enforced zed Coeli Number of Observations Read 10 0.4 Number of Observations Used 10 Standardized AICC Adj R-So mber of Effects Number of Parameters 2 elected Ste 20- Forward Selection Summary Entered Effects In SBC 0 Intercept 1 37,0358 25.3384 SBC 1 Income ($ , 000s) 2 6,7756' -4.6192" Intercept 1 +Income (S ,000s) Intercept * Optimal Value of Criterion 1+Income ($,0005) Effect Sequence Effect Sequence +Income ($ ,000s) Selection stopped use all effects are in the Effect Sequence Best Criterion Value Step Selected by SBC Observed by Predicted for Education (years) Selected Model Analysis of Variance The selected model, based on SBC, is the model at Step 1. Source DF Squares Square F Value Pr > F 17.5 Effects: Intercept Income ($ ,000s) Corrected Total 9 100.10000 Note: The p-values for parameters and effects are not Root MSE Dependent Mean 13.70000 Analysis of Variance 150 RXSquare 0,9603 DF Square F Value Pr > F 1 193,43 6,0001 3.97549 0.49694 Education (years SBC 12 Fit Diagnostics for Education (years) Parameter Estimates Parameter DF Estimate 1 2.857979 0.810796 t Value Pr > |:1 100 Intercept Income ($ ,000s) 1 0.201900 0.014517 13.91