Question

Discuss how the least squares line is used to predict yy on the basis of x.x.

Solution

Verified
Answered 8 months ago
Answered 8 months ago

Least square line is one of the regression analysis techniques which is used to predict the value of the dependent variable when the independent variable is known or if we assume a certain value of the independent variable. This is done when we want to predict the effect of an independent variable on the dependent variable. In the least square line, there is an assumption of connection between the dependent and independent variables by relating the dependent variable to a single independent variable.

The linear connection is defined as y^=b0+b1x\hat{y}=b_0+b_1x where b0b_0 is the yy-intercept, b1b_1 is the slope calculated by dividing the covariance by the square of the sample standard deviation of the sample of xx values, and y^\hat{y} is the predicted value when we assume a value for xx.

Create an account to view solutions

By signing up, you accept Quizlet's Terms of Service and Privacy Policy
Continue with GoogleContinue with Facebook

Create an account to view solutions

By signing up, you accept Quizlet's Terms of Service and Privacy Policy
Continue with GoogleContinue with Facebook

More related questions

1/4

1/7