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What is the purpose of the intercept in a linear regression equation?

Practice Questions

Q1
What is the purpose of the intercept in a linear regression equation?
  1. To represent the predicted value when all independent variables are zero
  2. To indicate the strength of the relationship
  3. To adjust for multicollinearity
  4. To minimize the residuals

Questions & Step-by-Step Solutions

What is the purpose of the intercept in a linear regression equation?
  • 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.
  • 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: This means if we have no influence from the independent variables, the intercept gives us a starting point for our predictions.
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