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
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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
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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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