Question

What is simple regression model and multiple regression model? What are the underlying

assumptions for OLS model?​

Answer 1

Question:-

• what is simple regression?

Answer-:

simple regression - the relation between selected values of x and observed values of y (from which the most probable value of y can be predicted for any value of x) regression toward the mean, statistical regression, regression.

Question:-

what is multiple regression model?

Answer:-

As the name implies, multivariate regression is a technique that estimates a single regression model with more than one outcome variable. When there is more than one predictor variable in a multivariate regression model, the model is a multivariate multiple regression.

Question:-

What are the underlying assumptions for OLS model?

Answer:-

There are four assumptions associated with a linear regression model: Linearity: The relationship between X and the mean of Y is linear. Homoscedasticity: The variance of residual is the same for any value of X. Independence: Observations are independent of each other.

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