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

/
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

#### You've reached the end of your free preview.

Want to read all 6 pages?

- Fall '19
- Regression Analysis, VIF