OLSI using observations 1-727 (n 717) Missing or incomplete observations dropped
ID: 3221408 • Letter: O
Question
OLSI using observations 1-727 (n 717) Missing or incomplete observations dropped: 10 Dependent variable: perfindex coefficient std. error t-ratio p-value 96.0295 Const 2.29293 41.88 5.18e-194 Nokk enrollsa -1.74386e-06 7.95323e-07 2.193 0.0287 0.00647377 0.00186994. 3.462 0.0006 e »ok -0.180767 0.0188029 9.614. 1.19e-20 enroll ecdisad percblack 0.165315 0.0171854 9.619 1.13e-20 perch is -0.0585582 0.0813267 0.7200 0.4717 salary 9.53617e-05 4.75642e-05 2.005 0.0454 Mean dependent var 97.46388 S.D. dependent var 10.32721 Sum squared resi 37227,85 S.E. of regression 7.241105 squared 0.512484 Adjusted R-squared 0.5083 64 F (6, 124.3938 P-value (F) 2.9e-107 Log-likelihood 2433.360 Akaike criterion 4880.719 Schwarz criterion 4912.745 Hannan-Quinn 4893.085 Excluding the constant value was highest for variable 7 (perchis)Explanation / Answer
Answer to question1
The coefficients of the Independent variables are as follows:
1. Enrollsq has a negative coefficient , indicating that as Enrolsq increases, the performance goes on decreasing. this is as expected
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2. Enrol has a positive coefficient , this is because as more and more enrolments are done , there would be more competition and people would be expected to perform better than the rest , thus increasing the overall performance of employees. Thus we expected this coefficient to be positive and we get the same result
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3. Salary , always motviates employees to perform better. higher the salary higher is the performance and vice versa. Thus we did expect this coefficient to be postive and the result also provides this coefficient to be positive only.
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4. The remaining three variables are mentioned in abbreviated forms, but the coefficient signs tells us that higher the value of these three variables (perchis , percblack, ecdisad) lower is the performance and vice versa
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