Homework question: If the overall model is statistically significant, which variables are significant and whatis the direction of each of their relationships with the DV?

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MY ANSWER:

MODEL 1: (x1) I am paid fairly for the work I do is significant because p (.011) (x21)performance.

MODEL 2: (x13) Loyalty - I have a sense of loyalty to the restaurant is significantbecause p (.000) (x21) performance.

QUESTION: Based on the data provided, did I answer correctly? Did I miss anything? Thank you!

NOTE - This assignment is a hierarchical linear regression to test three hypotheses.

ANOVA Sum of Model Squares df Mean Square F Sig. 1 Regression 21.919 2 10.960 4. 151 020 Residual 158.398 60 2.640 Tota 180.317 62 2 Regression 85.434 3 28.478 17.708 0OOC Residual 94.884 59 1.608 Total 180.317 62 a. Dependent Variable: X21 -- Performance b. Predictors: (Constant), X1 -- Paid Fairly, X14 -- Effort (Self-report) c. Predictors: (Constant), X1 -- Paid Fairly, X14 -- Effort (Self-report), X13 -- Loyalty (Self-report) Coefficients Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. 1 (Constant) 027 1.389 019 985 X14 -- Effort (Self-report) 270 189 174 1.433 157 X1 -- Paid Fairly 574 .218 321 2.637 011 2 (Constant) -3.239 1.202 -2.694 009 X14 -- Effort (Self-report) -.031 155 -.020 .203 840 X1 -- Paid Fairly 110 185 061 592 556 X13 -- Loyalty (Self-report) 1.182 188 668 6.284 000 a. Dependent Variable: X21 -- Performance