Which of the following is true about the standard error of estimate?
A) It is a measure of the accuracy of the prediction
B) It is based on squared vertical deviations between Y and Y
C) It cannot be negative
D) All of the above
Answer: D
Based on the regression equation, we can
A) predict the value of the dependent variable given a value of the independent variable.
B) predict the value of the independent variable given a value of the dependent variable.
C) measure the association between
A committee studying employer-employee relations proposed that each employee would rate
his or her immediate supervisor and in turn the supervisor would rate each employee. To find
reactions regarding the proposal, 120 office personnel and 160 plant perso
Chapter 14
Multiple Regression and Correlation Analysis
True/False
1. Multiple regression analysis is used when two or more independent variables are used to
predict a value of a single dependent variable.
Answer: True
Difficulty: Easy
Goal: 1
AACSB: AS
2
The regression analysis can be summarized as follows:
A) No significant relationship between the variables
B) A significant negative relationship exists between the variables
C) A significant positive relationship exists between the variables
D) For every
If an ANOVA test is conducted and the null hypothesis is rejected, what does this indicate?
A) Too many degrees of freedom
B) No difference between the population means
C) A difference between at least one pair of population means
D) None of the above
Ans
Chapter 14
Multiple Regression and Correlation Analysis
True/False
1. Multiple regression analysis is used when two or more independent variables are used to
predict a value of a single dependent variable.
Answer: True
Difficulty: Easy
Goal: 1
AACSB: AS
2
What are the input and the output of linear regression?
Answer: As an input, linear regression requires data for two interval or ratio variables. One
is defined as the dependent variable and the other is defined as the independent variable. The
output of
What does the coefficient of determination measure?
Answer: For a regression analysis, the coefficient of determination measures the explained
variation in the dependent variable as a percent of the total variation.
What can we conclude if the coefficient of determination is 0.94?
A) Strength of relationship is 0.94
B) Direction of relationship is positive
C) 94% of total variation of one variable is explained by variation in the other variable.
D) All of the above a
The technique used to measure the strength of the relationship between two variables using
the coefficient of correlation and the coefficient of determination is called regression analysis.
Answer: False
What is the chart called when the paired data (the dependent and independent variables) are
plotted?
A) Scatter diagram
B) Bar chart
C) Pie chart
D) Histogram
Answer: A
Trying to predict weekly sales with a standard error of estimate of $1,955, we would
conclude that 68 percent of the predictions would not be off more than $1,955, 95 percent
would not be off by more $3,910, and 99.7 percent would not be off by more than
The covariance is
A) The same sign as the correlation
B) Always greater than zero
C) Used to detect curvilinear relationships
D) Computed by multiplying two variances.
Answer: A
The Pearson product-moment correlation coefficient, r, requires that variables are measured
with:
A) An interval scale
B) A ratio scale
C) An ordinal scale
D) A nominal
E) Either A or B.
Answer: E