How do I calculate the DF, critical value, and obtained value for a linear regression analysis?

The two variables selected for this scenario was satisfaction and event. The scale of measurement for the variables is scale. The research hypothesis is there is a relationship betweennumber of stressful life events that had occurred in the last year andworkplace satisfaction.The null hypothesis is there is norelationship betweennumber of stressful life events that had occurred in the last year andworkplace satisfaction.A one tailed hypothesis was used because the relationship was predicted to work in one direction.

ANOVA Model Sum of Squares df Mean Square F Sig. Regression 17.198 17.198 103 .750 Residual 6682.135 40 167.053 Total 6699.333 41 a. Dependent Variable: Satisfaction b. Predictors: (Constant), EventsModel Summary Change Statistics Adjusted R Std. Error of the R Square Model R R Square Square Estimate Change F Change dfl df2 Sig. F Change .051 003 -.022 12.92491 .003 103 40 .750 a. Predictors: (Constant), EventsCoefficients" Standardized Unstandardized Coefficients Coefficients 95.0% Confidence Interval for B Model B Std. Error Beta Sig. Lower Bound Upper Bound 1 (Constant) 36.708 11.474 3.199 003 13.517 59.898 Events 930 2.897 051 .321 750 -4.926 6.785 a. Dependent Variable: Satisfaction