1
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QBA Final Questions and Answers (100%
Correct Answers) Already Graded A+
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
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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
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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.
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.
, 2
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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.
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False [ Ans: ] The least squares simple linear regression line
minimizes the sum of the vertical deviations between the line and
the data points.
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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.
True [ Ans: ] Three criteria used to compare two forecasting
methods are the mean absolute error, the mean squared error,
and the mean absolute percentage error.
True [ Ans: ] A simple exponential forecasting method would not
be used to forecast seasonal data.
False [ Ans: ] Simple exponential smoothing is an appropriate
method for prediction purposes when there is a significant trend
present in a time series.
False [ Ans: ] Exponential smoothing is a forecasting method that
applies equal weights to the time series observations.
True [ Ans: ] Trend refers to a long-run upward or downward
movement of a time series over a period of time.
For Expert help and assignment solutions, +254707240657
QBA Final Questions and Answers (100%
Correct Answers) Already Graded A+
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
© 2025 Assignment Expert
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
Guru01 - Stuvia
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.
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.
, 2
For Expert help and assignment solutions, +254707240657
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.
© 2025 Assignment Expert
False [ Ans: ] The least squares simple linear regression line
minimizes the sum of the vertical deviations between the line and
the data points.
Guru01 - Stuvia
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.
True [ Ans: ] Three criteria used to compare two forecasting
methods are the mean absolute error, the mean squared error,
and the mean absolute percentage error.
True [ Ans: ] A simple exponential forecasting method would not
be used to forecast seasonal data.
False [ Ans: ] Simple exponential smoothing is an appropriate
method for prediction purposes when there is a significant trend
present in a time series.
False [ Ans: ] Exponential smoothing is a forecasting method that
applies equal weights to the time series observations.
True [ Ans: ] Trend refers to a long-run upward or downward
movement of a time series over a period of time.
