MKT Research Chapter 18 Test
With Complete Solution
A statistic summarizing the strength of association between two metric
variables is called the ________.
A) product moment correlation
B) covariance correlation
C) inverse correlation
D) bivariate correlation
E) F-statistic - ANSWER A
The ________ is the most widely used statistic that summarizes the strength
and direction of association between two metric variables.
A) covariance correlation
B) product moment correlation
C) inverse correlation
D) bivariate correlation
E) F-statistic - ANSWER B
Which of the following statistics indicates the degree to which the variation
,in one variable, X, is related to the variation in another variable, Y?
A) covariance correlation
B) inverse correlation
C) product moment correlation
D) bivariate correlation
E) F-statistic - ANSWER C
The product moment correlation is also referred to as all of the following
EXCEPT:
A) simple correlation.
B) bivariate correlation.
C) correlation coefficient.
D) Pearson correlation.
E) F-statistic. - ANSWER E
A systematic relationship between two variables in which a change in one
implies a corresponding change in the other is called ________.
A) causation
B) analysis of variance
C) covariance
, D) deviation
E) standard deviation - ANSWER C
Which of the following is (are) true?
A) r2 = explained variation / total variation
B) r2 = SSx / SSy
C) r2 = (total variation - error variation) / total variation
D) r2 = (SSy - SSerror) / SSy
E) All of the above are true. - ANSWER E
All of the following are true EXCEPT:
A) The product moment correlation is denoted by ρ .
B) The coefficient r is an estimator of ρ .
C) The calculation of r assumes X and Y are metric.
D) Data that use rating scales with a small number of categories will tend to
under estimate ρ .
E) Data that use rating scales with a small number of categories will tend to
over estimate ρ . - ANSWER E
Regression analysis of an independent and dependent variable can be used in
all of the following ways EXCEPT:
With Complete Solution
A statistic summarizing the strength of association between two metric
variables is called the ________.
A) product moment correlation
B) covariance correlation
C) inverse correlation
D) bivariate correlation
E) F-statistic - ANSWER A
The ________ is the most widely used statistic that summarizes the strength
and direction of association between two metric variables.
A) covariance correlation
B) product moment correlation
C) inverse correlation
D) bivariate correlation
E) F-statistic - ANSWER B
Which of the following statistics indicates the degree to which the variation
,in one variable, X, is related to the variation in another variable, Y?
A) covariance correlation
B) inverse correlation
C) product moment correlation
D) bivariate correlation
E) F-statistic - ANSWER C
The product moment correlation is also referred to as all of the following
EXCEPT:
A) simple correlation.
B) bivariate correlation.
C) correlation coefficient.
D) Pearson correlation.
E) F-statistic. - ANSWER E
A systematic relationship between two variables in which a change in one
implies a corresponding change in the other is called ________.
A) causation
B) analysis of variance
C) covariance
, D) deviation
E) standard deviation - ANSWER C
Which of the following is (are) true?
A) r2 = explained variation / total variation
B) r2 = SSx / SSy
C) r2 = (total variation - error variation) / total variation
D) r2 = (SSy - SSerror) / SSy
E) All of the above are true. - ANSWER E
All of the following are true EXCEPT:
A) The product moment correlation is denoted by ρ .
B) The coefficient r is an estimator of ρ .
C) The calculation of r assumes X and Y are metric.
D) Data that use rating scales with a small number of categories will tend to
under estimate ρ .
E) Data that use rating scales with a small number of categories will tend to
over estimate ρ . - ANSWER E
Regression analysis of an independent and dependent variable can be used in
all of the following ways EXCEPT:
