1
The product moment correlation is also known as the Pearson correlation coefficient and as
________.
2
________ is best to use to determine how strongly sales are related to advertising
expenditures.
3
) The ________ is a statistic summarizing the strength of association between two metric
variables.
4
The equation for r involves dividing the ________ by ________
5
The equation for r is represented as ________
6
In the equation COVxy/ SxSy, Sx and Sy represent ________.
8
r = 0 indicates ________.
9
Which statement about the correlation coefficient, r, is true?
10
Which statement is not true about correlation matrices?
11
The ________ is a measure of the association between two variables after controlling or
adjusting for the effects of one or more additional variables.
12
The question of "How strongly are sales related to advertising expenditures when the effect
of price is controlled?" is best answered via ________.
13
Which statement is not correct about the partial correlation coefficient?
14
Partial correlations have an order associated with them. The order indicates how many
variables are being adjusted or controlled. The simple correlation coefficient, r, has a ________,
as it does not control for any additional variables when measuring the association between two
variables. The coefficient rsy.z is a ________ partial correlation coefficient, as it controls for the
effect of one additional variable, Z.
15
The relationship between X and Y is spurious if ________
16
ry(x.z) represents the ________.
17
Which of the following is a measure of nonmetric correlation?
18
When considering nonmetric correlation, as a rule of thumb, ________ is to be preferred
when a large number of cases fall into a relatively small number of categories (thereby leading to
a large number of ties).
19
________ is a statistical procedure for analyzing associative relationships between a metric
dependent variable and one or more independent variables.
20
_______ is a procedure for deriving a mathematical relationship, in the form of an equation,
between a single metric dependent variable and a single metric independent variable.
21
Which of the following situations is best addressed by regression?
22
Which statement is not true about regression analysis?
23
A technique for fitting a straight line to a scattergram by minimizing the square of the
vertical distances of all the points from the line is known as the ________.
24
The bivariate regression model that accounts for the probabilistic or stochastic nature of the
relationship between X and Y is ________.
25
What is the bivariate regression equation if sample observations are used to predict Y?
26
Which statement is not true about the constant b in the bivariate regression equation Ŷ i = a
+ bXi?
27
Which equation depicts the relationship between the standardized and non-standardized
regression coefficients?
28
The standard deviation of b, or the standard error, is denoted as ________.
29
In bivariate regression, which statement is true concerning the coefficient of determination,
r2?
30
________ is the appropriate test statistic to use to determine the significance of the
coefficient of determination in bivariate regression.
31
To estimate the accuracy of predicted values, Ŷ, found in bivariate regression, it is useful to
calculate the ________, the standard deviation of the actual Y values for the predicted Ŷ values.
32
________ is a statistical technique that simultaneously develops a mathematical relationship
between two or more independent variables and an interval-scaled dependent variable.
33
The general form of the multiple regression model is estimated by which equation?
34
Which statistic is associated only with multiple regression and not with bivariate regression?
35
The ________ denotes the change in the predicted value, Ŷ, per unit change in X1 when the
other independent variables, X2 to Xk,
are held constant.
36
Which statement is not true about partial regression coefficients?
37
In multiple regression, if the overall null hypothesis is rejected, ________.
38
In multiple regression, if the overall null hypothesis is rejected, which statement is true?
39
________ is a regression procedure in which the predictor variables enter or leave the
regression equation one at a time.
40
________ is a state of very high intercorrelations among independent variables.
41
Which of the following is not a problem associated with multicollinearity?
42
Which statement is true about cross-validation.
43
________ variables may be used as predictors or independent variables by coding them as
dummy variables.
44
The regression equation for a categorical variable with four categories would be modeled as
________.
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