Navigation » List of Schools » California State University, Northridge » Marketing » Marketing 346 – Market Research » Spring 2023 » Chapter 12 Connect Quiz
Below are the questions for the exam with the choices of answers:
Question #1
A describes the variation in the dependent variable caused by the control variable.
B is a stronger measure than the Pearson correlation coefficient.
C tells you the percentage of the total variation in the independent variable caused by the dependent variable.
D ranges from .00 to 1.0.
E ranges from -1.0 to +1.0.
Question #2
A the Spearman correlation coefficient.
B simple regression.
C bivariate regression analysis.
D the Pearson correlation coefficient.
E multiple regression analysis.
Question #3
A The larger the correlation coefficient, the weaker the association between two variables.
B The null hypothesis for the Pearson correlation coefficient states that the correlation coefficient is zero.
C The null hypothesis for the Pearson correlation coefficient states that there is always a strong association between two variables.
D The Pearson correlation coefficient measures the degree of linear association that ranges from 1.0 to 10.0.
E The Pearson correlation coefficient measures the degree of linear association between three variables.
Question #4
A TRUE
B FALSE
Question #5
A strength of association
B presence
C direction
D dispersion
E type
Question #6
A the variables have been measured using interval- or ratio-scaled measures.
B the variables we want to analyze have a binomially distributed population.
C the relationship we are trying to measure is curvilinear.
D when the correlation coefficient is strong and significant, the two variables of interest are associated in a curvilinear fashion.
E when the correlation coefficient is weak, there is a consistent, systematic relationship between the two variables of interest.
Question #7
A A positive beta indicates that as the size of an independent variable decreases, the size of the dependent variable increases.
B It shows the change in the dependent variable for each unit change in the independent variable.
C It is an estimated correlation coefficient.
D It is an F-ratio that has been recalculated to have a mean of 1 and a standard deviation of 0.
E It ranges from 1.00 to 3.00 and is a positive correlation coefficient.
Question #8
A The non-parametric hypothesis coefficient
B Covariation
C Bivariate regression analysis
D Multiple regression analysis
E Beta coefficient analysis
Question #9
A there is a weak association.
B there is a moderate relationship.
C an invisible relationship exists.
D a strong association is evident.
E there is no relationship.
Question #10
A statistic that compares the amount of variation in the dependent measure “explained” or associated with the independent variables to the “unexplained” or error variance.
B statistical procedure that estimates regression equation coefficients that produce the lowest sum of squared differences between the actual and predicted values of a dependent variable.
C estimated regression coefficient that has been recalculated to have a mean of zero and a standard deviation of 1.
D situation in which several independent variables are highly correlated with each other.
E statistical technique that analyzes the linear relationship between a dependent variable and multiple independent variables by estimating coefficients for the equation for a straight line.