Which of the following evaluation metrics can be used to evaluate a model while modeling acontinuous output variable? Question No: 16 Correct Answer In a simple linear regression model (One independent variable), If we change the input variableby 1 unit. How much output variable will change? Sum of Squared Errors AIC You Selected AUC-ROCAccuracyGiniYou SelectedMean Squared Error change by 1 unit no change by intercept by its slope You Selected
26/06/2020 Weekly Quiz 1: Predictive Modeling - Great Learning 9/10 Question No: 17 Correct Answer Multicollinearity occurs when Question No: 18 Correct Answer Which of the following statistics do we look at to identify the existence of multicollinearity inthe data. Question No: 19 Correct Answer Which of the following is an incorrect interpretation of p-values in a Linear regression model. The independent variables are highly correlated with the dependent variable Two or more independent variables are highly correlated with one another You Selected The independent variables are highly correlated with the error term The dependent variable and the error term are highly correlated
26/06/2020 Weekly Quiz 1: Predictive Modeling - Great Learning 10/10 Privacy Terms of service Help The p-value for each term tests the null hypothesis that the coefficient is equal to zero(no effect)An independent variable that has a low p-value is likely to be a meaningful addition toyour model
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- Summer '16
- Regression Analysis, following categories, performance of a car