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Attempt History Date Attempt Marks Oct 20, 2019, 10:52 PM 1 9 Hide answers Question No: 1Incorrect AnswerDegree of freedomSum of squaresMean of the squaresRegression11258.548639(SSR)1258.548639(MSR)Residual6773.4513612( SSE)128.9085602(MSE)Total72032(SST)Based on the above Table what is the value of F Statistic? 1.62 6 0.61 You Selected 9.76 Question No: 2 Correct Answer Correlation Coefficient takes values between +1 and -1 True You Selected False Question No: 3 Correct Answer
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As per assumptions of Linear Regression: Variance of the error terms should be Heteroscedastic Homoscedastic You Selected Question No: 4 Correct Answer Df Sum of squares Mean of the squares Regression 1 1258.548639 (SSR) 1258.548639 ( MSR ) Residual 6 773.4513612 (SSE) 128.9085602 ( MSE) Total 7 2032 SST No. of Independent Variables (I.V) = 1 Based on the above table what would be the value of R Square (R²)? 0.74 0.62 You Selected 0.5 0.82 Question No: 5 Correct Answer A Type II error is a False Positive False Negative You Selected Question No: 6 Correct Answer
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The VIF is a relative measure of the increase in the variance because of collinearity.
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