Based on the below regression output, please describe the output for all variabl

Question

Based on the below regression output, please describe the output for all variables (Salnow, JobCat, Work, Edlevel) and a one sentence discussion on each (remember the 4 variable criteria). THEN discuss the outputs of classical assumptions (choose some) and how you would test them.

. regress salnow jobcat work edlevel Source df MS 474 342.18 0.0000 0.6859 0.6839 3839.9 Number of obs F (3, 470) Model 1.5136e+10 6.9302e+09 3 5.0455e+09 Prob > F Residual 470 14745143.2R-squared Adj R-squared = Total 2.2067e+10 473 46652514.3 Root MSE salnow Coef. Std. Err. P> I [95% Conf . Interval] jobcat work edlevel cons 2806.331 146.7139 -6.087195 21.20209 878.328 73.86701 -3811.997 957.4056 19.13 0.000 -0.29 0.774 11.89 0.000 -3.98 2518.035 -47.74981 733.1775 3094.627 35.57542 1023.478 -5693.323 -1930.672 0.000

Explanation / Answer

Salnow represents the type of variable taken for multiple regression study... We hv list of variables that are mentioned in the above table

Job cat varies directly with salnow. Coefficient is large and positive.

Work trend is inversely proportional to salnow. Since its Coefficient is negative and have less standard deviation

Ed level has the trend as similar as jobcat

Jobcat and edlevel t values and p values indicate they dont satisfy null hypothesis. If the standard deviation increases the dependency of variable decreases and incline towards an independent variable.

Since the final P < 0.5, we have resultant solution lies in alternate hypothesis which means the the few values have dependency and few donot have it.

Related Questions

Navigate

• Browse (All)
• Browse B
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.