Question

Unstandardized coefficients Standardized coefficients

MODEL 1 - B - Std. Error -   BETA - t - Sig.   

x14 - Effort .270 .189    .174 1.433 .157

x1 - Paid fairly .574 .218 .321   2.637 .011

MODEL 2

x14 - Effort - .031 .155 -.020 -.203 .840

x1 - Paid fairly .110 .185 .061 .592 .556

x13 - Loyalty 1.182 .186 .668 6.284 .000

a. Dependent Variable: x21 - Performance

QUESTION: (based on the data above)

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

MY ANSWER:

MODEL 1: (x1) I am paid fairly for the work I do is significant because p (.011) < 0.05. The slope value of .574 is implying a positive relationship with (x21) performance.

MODEL 2: (x13) Loyalty - I have a sense of loyalty to Samouel’s Restaurant is significant because p (.000) < 0.05. The slope value of 1.182 is implying a positive relationship with (x21) performance.

Please let me know if my answer is correct so I know I read the data properly. If am incorrect, please let me know what is correct. Thank you!

Answer 1

MODEL 1: (x1) I am paid fairly for the work I do is significant because p -value=0.011 < 0.05. The slope value is 0.574 i.e. the sign of the coefficient of x1 is positive which is implying a positive relationship with (x21) performance.

MODEL 2: (x13) Loyalty - I have a sense of loyalty to Samouel’s Restaurant is significant because p-value=0.000 < 0.05. The slope value is 1.182 i.e. the sign of the coefficient of x13 is positive which is implying a positive relationship with (x21) performance.