Which of the following is a common assumption made by linear regression?
Practice Questions
Q1
Which of the following is a common assumption made by linear regression?
The relationship between variables is non-linear
The residuals are normally distributed
The dependent variable is categorical
There is no multicollinearity among predictors
Questions & Step-by-Step Solutions
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.
