QBA FINAL UPDATED Actual Exam
Questions and CORRECT Answers
False - CORRECT ANSWER✔✔- In one-way ANOVA, the numerator degrees of freedom
equals the number of samples being compared.
True - CORRECT ANSWER✔✔- If factors being studied cannot be controlled, the data are
said to be observational.
False - CORRECT ANSWER✔✔- In simple linear regression analysis, we assume that the
variance of the independent variable (X) is equal to the variance of the dependent variable
(Y).
False - CORRECT ANSWER✔✔- Testing the contribution of individual independent
variables with t tests is performed prior to the F test for the model in multiple regression
analysis.
True - CORRECT ANSWER✔✔- The slope of the simple linear regression equation
represents the average change in the value of the dependent variable per unit change in the
independent variable (X).
True - CORRECT ANSWER✔✔- A one-way analysis of variance is a method that allows us
to estimate and compare the effects of several treatments on a response variable.
False - CORRECT ANSWER✔✔- The odds of an event occurring is the probability that the
event will not occur divided by the probability that the event will occur.
True - CORRECT ANSWER✔✔- In a completely randomized (one-way) ANOVA, with
other things being equal, as the sample means get closer to each other, the probability of
rejecting the null hypothesis decreases.
False - CORRECT ANSWER✔✔- Experimental data are collected so that the values of the
dependent variables are set before the values of the independent variable are observed.
, False - CORRECT ANSWER✔✔- The error term is the difference between an individual
value of the dependent variable and the corresponding mean value of the dependent variable.
False - CORRECT ANSWER✔✔- The error sum of squares measures the between-treatment
variability.
True - CORRECT ANSWER✔✔- The natural logarithm of the odds is called the logit.
False - CORRECT ANSWER✔✔- In one-way ANOVA, a large value of F results when the
within-treatment variability is large compared to the between-treatment variability.
True - CORRECT ANSWER✔✔- In a 2-way ANOVA, treatment is considered to be a
combination of a level of factor 1 and a level of factor 2.
False - CORRECT ANSWER✔✔- The least squares simple linear regression line minimizes
the sum of the vertical deviations between the line and the data points.
True - CORRECT ANSWER✔✔- A simple linear regression model is an equation that
describes the straight-line relationship between a dependent variable and an independent
variable.
True - CORRECT ANSWER✔✔- The simple coefficient of determination is the proportion
of total variation explained by the regression line.
True - CORRECT ANSWER✔✔- Three criteria used to compare two forecasting methods
are the mean absolute error, the mean squared error, and the mean absolute percentage error.
True - CORRECT ANSWER✔✔- A simple exponential forecasting method would not be
used to forecast seasonal data.
False - CORRECT ANSWER✔✔- Simple exponential smoothing is an appropriate method
for prediction purposes when there is a significant trend present in a time series.
Questions and CORRECT Answers
False - CORRECT ANSWER✔✔- In one-way ANOVA, the numerator degrees of freedom
equals the number of samples being compared.
True - CORRECT ANSWER✔✔- If factors being studied cannot be controlled, the data are
said to be observational.
False - CORRECT ANSWER✔✔- In simple linear regression analysis, we assume that the
variance of the independent variable (X) is equal to the variance of the dependent variable
(Y).
False - CORRECT ANSWER✔✔- Testing the contribution of individual independent
variables with t tests is performed prior to the F test for the model in multiple regression
analysis.
True - CORRECT ANSWER✔✔- The slope of the simple linear regression equation
represents the average change in the value of the dependent variable per unit change in the
independent variable (X).
True - CORRECT ANSWER✔✔- A one-way analysis of variance is a method that allows us
to estimate and compare the effects of several treatments on a response variable.
False - CORRECT ANSWER✔✔- The odds of an event occurring is the probability that the
event will not occur divided by the probability that the event will occur.
True - CORRECT ANSWER✔✔- In a completely randomized (one-way) ANOVA, with
other things being equal, as the sample means get closer to each other, the probability of
rejecting the null hypothesis decreases.
False - CORRECT ANSWER✔✔- Experimental data are collected so that the values of the
dependent variables are set before the values of the independent variable are observed.
, False - CORRECT ANSWER✔✔- The error term is the difference between an individual
value of the dependent variable and the corresponding mean value of the dependent variable.
False - CORRECT ANSWER✔✔- The error sum of squares measures the between-treatment
variability.
True - CORRECT ANSWER✔✔- The natural logarithm of the odds is called the logit.
False - CORRECT ANSWER✔✔- In one-way ANOVA, a large value of F results when the
within-treatment variability is large compared to the between-treatment variability.
True - CORRECT ANSWER✔✔- In a 2-way ANOVA, treatment is considered to be a
combination of a level of factor 1 and a level of factor 2.
False - CORRECT ANSWER✔✔- The least squares simple linear regression line minimizes
the sum of the vertical deviations between the line and the data points.
True - CORRECT ANSWER✔✔- A simple linear regression model is an equation that
describes the straight-line relationship between a dependent variable and an independent
variable.
True - CORRECT ANSWER✔✔- The simple coefficient of determination is the proportion
of total variation explained by the regression line.
True - CORRECT ANSWER✔✔- Three criteria used to compare two forecasting methods
are the mean absolute error, the mean squared error, and the mean absolute percentage error.
True - CORRECT ANSWER✔✔- A simple exponential forecasting method would not be
used to forecast seasonal data.
False - CORRECT ANSWER✔✔- Simple exponential smoothing is an appropriate method
for prediction purposes when there is a significant trend present in a time series.
