Market Research; Aaker

Chapter 15 - Multiple choice quiz

1.
A coefficient which examines the association between a dependent variable and an independent variable after factoring out the effect of other independent variables is known as:
A.
A partial correlation coefficient
B.
A correlation coefficient
C.
A regression coefficient
D.
All of the above


2.
A statistical technique that develops an equation that relates a dependent variable to one or more independent variables is called:
A.
Correlation analysis
B.
Regression analysis
C.
Partial correlation analysis
D.
All of the above


3.
The total variation explained by a regression model is given by:
A.
R2
B.
The t-value
C.
The f-value
D.
All of the above


4.
In a multiple regression when there are correlations between predictor variables, this problem is known as:
A.
Heteroskedasticity
B.
Multicollinearity
C.
Over-regression
D.
Auto-association


5.
The degree of linear association between two metric scaled variables is measured by:
A.
Pearson correlation coefficient
B.
significance level
C.
analysis of variance
D.
β


6.
R2 is used in regression analysis to:
A.
Measure model fit
B.
Measure the amount of variance in the dependent variable explained by variation in the independent variables
C.
To determine how well the model works
D.
All of the above


7.
The basic assumption behind regression analysis is:
A.
To estimate a line that goes through most values in the observed data set
B.
To minimise the sum of the squared residuals
C.
Estimate a line that maximises the difference between the sum of Yi-Yi
D.
All of the above


8.
Correlation analysis is used to:
A.
Simultaneously compare the effect of multiple independent variables on a dependent variable
B.
Predict values of y based on values of x
C.
Measure the strength of association between two variables
D.
All of the above


9.
The difference between regression analysis and correlation analysis is:
A.
Regression enables prediction of the dependent variable
B.
Regression estimates the line of best fit through the data
C.
Regression provides measures of association in units of the variable being measured
D.
All of the above


10.
Which of the following are violations of an assumption underlying regression analysis:
A.
Autocorrelation
B.
Heteroskedasticity
C.
Multicollinearity
D.
All of the above


11.
A technique for the study of interrelationships among variables, usually for the purposes of data reduction and the discovery of underlying constructs or latent dimensions is known as:
A.
Multiple regression
B.
Factor analysis
C.
Discriminant analysis
D.
Canonical correlation analysis


12.
Which of the following is an orthogonal rotation in factor analysis:
A.
Oblimin
B.
Oblimax
C.
Oblique
D.
Varimax


13.
To determine which variables relate to which factors, a researcher would use:
A.
Factor loadings
B.
Communalities
C.
Eigenvalues
D.
Beta coefficients


14.
If a researcher wants to determine the amount of variance in the original variables that is associated with a factor, they would use:
A.
Factor loadings
B.
Communalities
C.
Eigenvalues
D.
Beta coefficients


15.
If a researcher wanted to determine which variables were associated with which factors they would look at:
A.
Factor scores
B.
Factor loadings
C.
Factors
D.
Factor associations


16.
Which of the following can be used to determine how many factors to take from a factor analysis:
A.
Eigenvalues
B.
Scree plots
C.
Percentage of variance
D.
All of the above


17.
The percentage of variance criteria specifies that the number of factors to be extracted is determined by the cumulative percentage of variance extracted reaching a satisfactory level. This level should be at least:
A.
30%
B.
50%
C.
70%
D.
90%


18.
If a researcher uses factor rotation in a factor analysis, what will be the likely outcome:
A.
The pattern of loadings changes and the total variance explained by the factors remains the same.
B.
The pattern of loadings stays the same and the total variance explained by the factors remains the same.
C.
The pattern of loadings changes and the total variance explained by the factors changes also.
D.
The pattern of loadings stays the same and the total variance explained by the factors changes also.


19.
In which of the following rotations using factor analysis are the factors constrained to be orthogonal or independent:
A.
Varimax
B.
Varimin
C.
Oblimax
D.
Oblimin


20.
Consider the information in the following table:

of the following is the correct interpretation of the factor solution based upon the loadings above:
A.
Factor 1: X1, X2, X6, X7; Factor 2: X4, X5; Factor 3: X3
B.
Factor 1: X2, X7; Factor 2: X4, X5, X6; Factor 3: X1, X3
C.
Factor 1: X3, X4, X5; Factor 2: X1, X2, X3, X6; Factor 3: X1, X2, X5
D.
None of the above are correct


STOP This is the end of the test. When you have completed all the questions and reviewed your answers, press the button below to grade the test.

© John Wiley & Sons Australia, Ltd