# The formulas return a value between 1 and 1 question

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data. The formulas return a value between -1 and 1 Question No: 3 Correct Answer Marks: 1/1 As per assumptions of Linear Regression: Variance of the error terms should be- The error terms should be Homoscedastic i.e. the error terms should have constant variance across different values of independent variable. Question No: 4 Correct Answer Marks: 1/1 Df Sum of Mean of 1.62 6 0.61 9.76 You Selected True You Selected False Heteroscedastic Homoscedastic You Selected 16/07/2020 Weekly Quiz 1: Predictive Modeling - Great Learning 3/5 squares the squares Regression 1 1258.54863 9 (SSR) 1258.548 639 ( MSR ) Residual 6 773.451361 2 (SSE) 128.9085 602 ( 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)? The R Squared is the ratio of Sum of Squares Regression (SSR) to Total sum of squares (SST) = 1258.548639/2032 = 0.62 Question No: 5 Correct Answer Marks: 1/1 A Type II error is a _____________ Question No: 6 Correct Answer 0.74 0.62 You Selected 0.5 0.82 False Positive False Negative You Selected 16/07/2020  #### You've reached the end of your free preview.

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