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 is a stronger measure than the Pearson correlation coefficient.
B tells you the percentage of the total variation in the independent variable caused by the dependent variable.
C describes the variation in the dependent variable caused by the control variable.
D ranges from -1.0 to +1.0.
E ranges from .00 to 1.0.
Question #2
A the Spearman correlation coefficient.
B bivariate regression analysis.
C multiple regression analysis.
D the Pearson correlation coefficient.
E simple regression.
Question #3
A The null hypothesis for the Pearson correlation coefficient states that there is always a strong association between two variables.
B The null hypothesis for the Pearson correlation coefficient states that the correlation coefficient is zero.
C The Pearson correlation coefficient measures the degree of linear association between three variables.
D The Pearson correlation coefficient measures the degree of linear association that ranges from 1.0 to 10.0.
E The larger the correlation coefficient, the weaker the association between two variables.
Question #4
A FALSE
B TRUE
Question #5
A strength of association
B dispersion
C direction
D type
E presence
Question #6
A when the correlation coefficient is weak, there is a consistent, systematic relationship between the two variables of interest.
B the variables have been measured using interval- or ratio-scaled measures.
C the relationship we are trying to measure is curvilinear.
D the variables we want to analyze have a binomially distributed population.
E when the correlation coefficient is strong and significant, the two variables of interest are associated in a curvilinear fashion.
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 is an estimated correlation coefficient.
C It is an F-ratio that has been recalculated to have a mean of 1 and a standard deviation of 0.
D It shows the change in the dependent variable for each unit change in the independent variable.
E It ranges from 1.00 to 3.00 and is a positive correlation coefficient.
Question #8
A Bivariate regression analysis
B Covariation
C Multiple regression analysis
D Beta coefficient analysis
E The non-parametric hypothesis coefficient
Question #9
A there is a weak association.
B there is no relationship.
C there is a moderate relationship.
D a strong association is evident.
E an invisible relationship exists.
Question #10
A 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.
B estimated regression coefficient that has been recalculated to have a mean of zero and a standard deviation of 1.
C 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.
D statistic that compares the amount of variation in the dependent measure “explained” or associated with the independent variables to the “unexplained” or error variance.
E situation in which several independent variables are highly correlated with each other.