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What is the role of the intercept in a linear regression equation?
Practice Questions
Q1
What is the role of the intercept in a linear regression equation?
It represents the slope of the line
It is the predicted value when all predictors are zero
It indicates the strength of the relationship
It is not relevant in linear regression
Questions & Step-by-Step Solutions
What is the role of the intercept in a linear regression equation?
Steps
Concepts
Step 1: Understand that a linear regression equation predicts a value based on other values.
Step 2: Identify the dependent variable, which is the outcome we want to predict.
Step 3: Recognize the independent variables, which are the factors that influence the dependent variable.
Step 4: The intercept is a specific value in the equation, usually represented as 'b0'.
Step 5: The intercept tells us what the predicted value of the dependent variable is when all independent variables are set to zero.
Step 6: For example, if the intercept is 5, it means that when all independent variables are zero, the predicted value of the dependent variable is 5.
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