1. The research proposed ways to estimate happiness and job-satisfaction regression equations . 2. The polynomials, along with the fitted coefficients, form the multiple regression equations . 3. I didn't think of applying propagation of uncertainty to the linear regression equation . 4. The polynomial regression equation commonly used in person-environment fit research is as follows: 5. As result, the regression equation will be unsolvable, even by the typical pseudoinverse method. 6. These interactions can be shown in the regression equation as illustrated by the example below. 7. This variation may be addressed in MLM by adding age into the regression equation . 8. On the use of polynomial regression equations as an alternative to difference scores in organizational research. 9. The constant term in all regression equations is a coefficient multiplied by a regressor equal to one. 10. Taking logs gives the linear regression equation
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