DA 292 #3

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Created by
Sydney Suggs

Cards (6)


  • False

    In a regression model where the dependent variable is percentage of voter turnout, and the independent variables are:

    State party affiliation (1 = Republican State, 0 = Democratic),
    Percentage of population who are registered Democrats between ages 18-40.
    Percentage of population who are registered Republicans between ages 45-70.
    Total number of registered voters by state

    You would not expect multicollinearity.
  • False

    Increasing the sample size will remove/fix multicollinearity problems in the data.
  • True

    Including dummy variables to a model will likely increase R-square
  • True

    Increasing the number of continuous quantitative variables in a model may decrease SSE.
  • True

    For the following model Y = f(X1,X2,X3), the calculated Variance Inflation Factor(VIF) was 8.2. You should expect an R-square > 0.7.
  • Decrease on average by 50

    For multiple regression model predicted y = 50 + 25x subscript 1 - 10x subscript 2 + 8x subscript 3, if x subscript 2 were to increase by 5, holding x subscript 1 and x subscript 3 constant, the value of y would: