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DSST Principles of Statistics Exam Prep

Category - DSST Statistics Free Test Prep

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The following is a multiple regression model. What do the regression coefficients b1 and b2 represent?
Yi = b0 + b1X1i + b2X2i +ei
  1. slopes of independent variables
  2. slopes of dependent variables
  3. random error term
  4. graph intercept
Explanation
Answer: A - Regression coefficients b1 and b2 in a linear regression model represent slopes of the independent variables under study.

Key Takeaway: Multiple regression analysis is used to study the effect of two or more independent variables on the dependent variable. In the linear regression model, b1 and b2 are calculated slopes of the independent variables. For example, if a marketing researchers is studying income and level of education as independent variables, their slopes in the analysis would be represented as b1 and b2.
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