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Multiple Regression Basics

  • In simple linear regression, the dependent variable was assumed to be dependent on only one variable (independent variable)
  • In General Multiple Linear Regression model, the dependent variable derive sits value from two or more than two variable
  • General Multiple Linear Regression model take the following form:
  • Where:
    • Yi = ith observation of dependent variable Y
    • Xki = ith observation of kth independent variable X
    • b0 = intercept term
    • bk = slope coefficient of kth independent variable
    • εi = error term of ith observation
    • n = number of observations
    • k = total number of independent variables

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