Which of the following is a common assumption made by linear regression?

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Question: Which of the following is a common assumption made by linear regression?

Options:

Correct Answer: There is no multicollinearity among predictors

Solution:

Linear regression assumes that there is no multicollinearity among the predictors, meaning they should not be highly correlated.

Which of the following is a common assumption made by linear regression?

Which of the following is a common assumption made by linear regression?

Step 1: Understand what linear regression is. It is a method used to predict a value based on the relationship between variables.
Step 2: Identify the predictors. These are the variables that help in making the prediction.
Step 3: Learn about multicollinearity. This means that the predictors should not be too similar or highly correlated with each other.
Step 4: Recognize why multicollinearity is a problem. If predictors are highly correlated, it can make it hard to determine their individual effects on the outcome.
Step 5: Conclude that a common assumption of linear regression is that there is no multicollinearity among the predictors.

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