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Question
What are the assumptions of linear regression?
What are the assumptions of linear regression?
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Solution
The four assumptions that are associated with any linear regression model are listed below:
- Assumption 1 – Linearity: The relationship between X and the mean of Y is linear.
- Assumption 2- Homoscedasticity: The variance of residual is the same for any value of X.
- Assumption 3 – Independence: Observations are independent of each other.
- Assumption 4 – Normality: For any fixed value of X, Y is normally distributed.
The four assumptions that are associated with any linear regression model are listed below:
- Assumption 1 – Linearity: The relationship between X and the mean of Y is linear.
- Assumption 2- Homoscedasticity: The variance of residual is the same for any value of X.
- Assumption 3 – Independence: Observations are independent of each other.
- Assumption 4 – Normality: For any fixed value of X, Y is normally distributed.
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