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