The akaike information criterion aic is an estimator

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The Akaike information criterion (AIC) is an estimator of the relative quality of statistical models for a given set of data. Question No: 9 Incorrect Answer Marks: 0/1 In the mathematical Equation of Linear Regression Y = β 1 + β 2X + ϵ , ( β 1, β 2) refers to __________ Linear regression is sensitive to outliers You Selected Linear regression is not sensitive to outliers Can't say None of these Sum of Squared Errors AIC You Selected X-intercept, Slope Slope, X-Intercept Y-Intercept, Slope Correct Option slope, Y-Intercept You Selected
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/ Proprietary content. ©Great Learning. All Rights Reserved. Unauthorized use or distribution prohibited. © 2020 All rights reserved Privacy Terms of service Help Y-intercept is β 1 and slope is β 2. Question No: 10 Correct Answer Marks: 1/1 In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change? For linear regression we know that Y=a+bx+error. And if we neglect error then the equation is Y=a+bx. Therefore, if x increases by 1, then Y = a+b(x+1) which implies Y=a+bx+b. So Y increases by its slope. change by 1 unit no change by intercept by its slope You Selected Previous Next
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