According to the data provided,If the overall model is statistically significant, which variables are significant and what is the direction of their relationship with the Dependent Variable in the regression model?I am having challenging interpreting the data to finish the homework question. I appreciate clarification.

Coefficients Unstandardized Coefficients Standardized Coefficients Model B Std. Error Beta Sig (Constant) 2.777 .973 2.856 006 X6 -- Supervisor 274 086 Recognizes My Potential 371 3.189 002 X5 --Learn New Skills 001 . 115 001 010 992 X12 -- Benefits Reasonable 332 134 290 2.468 016 a. Dependent Variable: X13 -- Loyalty (Self-report)Model Summary Adjusted R Std. Error of the Model R R Square Square Estimate 1 460 .211 171 878 a. Predictors: (Constant), X12 -- Benefits Reasonable, X6 -- Supervisor Recognizes My Potential, X5 -- Learn New Skills ANOVA Sum of Model Squares df Mean Square F Sig. Regression 12. 185 3 4.062 5.271 003 Residual 45.466 59 771 Total 57.651 62 a. Dependent Variable: X13 -- Loyalty (Self-report) b. Predictors: (Constant), X12 -- Benefits Reasonable, X6 -- Supervisor Recognizes My Potential, X5 -- Learn New Skills