LSSMBB Practice Test

LSSMBB Practice Test practice questions, page 16 of 16, with answer review and explanations.

Question 76

When evaluating residuals from a regression model, a Black Belt discovers that she has outliers in the data. What is best course of action for the outliers?

  1. Ignore them. They should not impact the model.
  2. Omit them.
  3. Explore the source of the outlier.
  4. Transform the independent variable and re-fit the model.

Question 77

Which of the following statements is NOT true regarding the Simple Regression formula?

  1. Y = the response variable
  2. X = the input variable
  3. ־²1 is the intercept
  4. ־²0 and ־²1 are the model coefficients to be estimated in the data

Question 78

What can you conclude if the Sum of Squares Error is larger than Sum of Squares for the Model?

  1. R-Squareisgreaterthan0.5
  2. R-Square is less than 0
  3. R-Square is equal to 1
  4. R-Square is less than 0.5

Question 79

In analyzing some data, you first try multiple linear regression with all the factors and with interactions (example: Factor A times Factor B is interaction AB) You obtain a multiple regression equation of the form: Response = 15 + .13 A - .30 B - .02 C - .00001 AB + .0000004 AC - .00000013 BC +.000000 ABC. The p-values for most of the factors and interactions are between 0 and .05, except interactions BC and ABC, which have p-values between .4 and .9. Which of the following approaches might be appropriate to simplify the equation?

  1. Drop all factors with negative coefficients.
  2. Drop factors BC and ABC and rerun the multiple linear regression.
  3. Drop factors B and C and rerun the multiple linear regression.
  4. Drop factors B and C and rerun the multiple linear regression.

Question 80

In Logistic Regression, an Odds Ratio of 1 means?

  1. One group is more likely than the other
  2. Both groups are very likely
  3. No association between groups - they are equally likely
  4. There is a significant relationship between groups