QBA FINAL EXAM UPDATED
QUESTIONS AND CORRECT ANSWERS.
False - ANS In one-way ANOVA, the numerator degrees of freedom equals the number of
samples being compared.
True - ANS If factors being studied cannot be controlled, the data are said to be
observational.
False - ANS 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 - ANS 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 - ANS 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 - ANS 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 - ANS The odds of an event occurring is the probability that the event will not occur
divided by the probability that the event will occur.
1 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED
, True - ANS 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 - ANS Experimental data are collected so that the values of the dependent variables are
set before the values of the independent variable are observed.
False - ANS The error term is the difference between an individual value of the dependent
variable and the corresponding mean value of the dependent variable.
False - ANS The error sum of squares measures the between-treatment variability.
True - ANS The natural logarithm of the odds is called the logit.
False - ANS In one-way ANOVA, a large value of F results when the within-treatment
variability is large compared to the between-treatment variability.
True - ANS 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 - ANS The least squares simple linear regression line minimizes the sum of the vertical
deviations between the line and the data points.
True - ANS A simple linear regression model is an equation that describes the straight-line
relationship between a dependent variable and an independent variable.
True - ANS The simple coefficient of determination is the proportion of total variation
explained by the regression line.
2 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED
QUESTIONS AND CORRECT ANSWERS.
False - ANS In one-way ANOVA, the numerator degrees of freedom equals the number of
samples being compared.
True - ANS If factors being studied cannot be controlled, the data are said to be
observational.
False - ANS 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 - ANS 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 - ANS 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 - ANS 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 - ANS The odds of an event occurring is the probability that the event will not occur
divided by the probability that the event will occur.
1 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED
, True - ANS 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 - ANS Experimental data are collected so that the values of the dependent variables are
set before the values of the independent variable are observed.
False - ANS The error term is the difference between an individual value of the dependent
variable and the corresponding mean value of the dependent variable.
False - ANS The error sum of squares measures the between-treatment variability.
True - ANS The natural logarithm of the odds is called the logit.
False - ANS In one-way ANOVA, a large value of F results when the within-treatment
variability is large compared to the between-treatment variability.
True - ANS 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 - ANS The least squares simple linear regression line minimizes the sum of the vertical
deviations between the line and the data points.
True - ANS A simple linear regression model is an equation that describes the straight-line
relationship between a dependent variable and an independent variable.
True - ANS The simple coefficient of determination is the proportion of total variation
explained by the regression line.
2 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED
