BUAL 2650 GUPTA EXAM 2 Questions
and Answers | 2026 Ultimate Final
Review | Grade A+
• A new company is in the process of evaluating its customer service. The company
offers two types of sales: (1) Internet sales and (2) store sales. The marketing research
manager believes that the Internet sales are more than 10 percent higher than store
sales. The alternative hypothesis would be stated as
a. PInternet − Pstore > 0
b. PInternet − Pstore < 0
c. PInternet − Pstore ≥ .10
d. PInternet − Pstore ≤ .10
e. PInternet − Pstore > .10 -✓✓e. PInternet − Pstore > .10
• If we are testing the hypothesis about the mean of a population of paired differences
with samples of n1 = 10, n2 = 10, the degrees of freedom for the t statistic is ________.
a. 19
b. 18
c. 9
d. 8
e. 10 -✓✓c. 9
• The ________ measures the strength of the linear relationship between the dependent
variable and the independent variable.
a. correlation coefficient
b. distance value
c. Y-intercept
d. residual -✓✓a. correlation coefficient
• The correlation coefficient may assume any value between
a. 0 and 1
b. −∞ and ∞
c. 0 and 8
d. −1 and 1
e. −1 and 0 -✓✓d. −1 and 1
• The following results were obtained as part of a simple regression analysis.
r2 = .9162F
statistic from the F table = 3.59
Calculated value of F from the ANOVA table = 81.87
, α = .05
p-value = .000
The null hypothesis of no linear relationship between the dependent variable and the
independent variable
a. is rejected
b. cannot be tested with the given information
c. is not rejected
d. is not an appropriate null hypothesis for this situation. -✓✓a. is rejected
• The coefficient of determination measures the ________ explained by the simple
linear regression model.
a. correlation
b. proportion of variation
c. standard error
d. mean square error -✓✓b. proportion of variation
• The ________ of the simple linear regression model is the value of y when the mean
value of x is zero.
a. y-intercept
b. slope
c. independent variable
d. response variable -✓✓a. y-intercept
• In multiple regression analysis, the explained sum of squares divided by the total sum
of squares yields the __________.
a. standard error
b. F statistic
c. R2
d. adjusted R2 or R−2
e. t statistic -✓✓c. R2
• Which one of the following is not an assumption about the residuals in a regression
model?
a. constant variance
b. independence
c. normality
d. variance of zero
e. mean of zero -✓✓d. variance of zero
and Answers | 2026 Ultimate Final
Review | Grade A+
• A new company is in the process of evaluating its customer service. The company
offers two types of sales: (1) Internet sales and (2) store sales. The marketing research
manager believes that the Internet sales are more than 10 percent higher than store
sales. The alternative hypothesis would be stated as
a. PInternet − Pstore > 0
b. PInternet − Pstore < 0
c. PInternet − Pstore ≥ .10
d. PInternet − Pstore ≤ .10
e. PInternet − Pstore > .10 -✓✓e. PInternet − Pstore > .10
• If we are testing the hypothesis about the mean of a population of paired differences
with samples of n1 = 10, n2 = 10, the degrees of freedom for the t statistic is ________.
a. 19
b. 18
c. 9
d. 8
e. 10 -✓✓c. 9
• The ________ measures the strength of the linear relationship between the dependent
variable and the independent variable.
a. correlation coefficient
b. distance value
c. Y-intercept
d. residual -✓✓a. correlation coefficient
• The correlation coefficient may assume any value between
a. 0 and 1
b. −∞ and ∞
c. 0 and 8
d. −1 and 1
e. −1 and 0 -✓✓d. −1 and 1
• The following results were obtained as part of a simple regression analysis.
r2 = .9162F
statistic from the F table = 3.59
Calculated value of F from the ANOVA table = 81.87
, α = .05
p-value = .000
The null hypothesis of no linear relationship between the dependent variable and the
independent variable
a. is rejected
b. cannot be tested with the given information
c. is not rejected
d. is not an appropriate null hypothesis for this situation. -✓✓a. is rejected
• The coefficient of determination measures the ________ explained by the simple
linear regression model.
a. correlation
b. proportion of variation
c. standard error
d. mean square error -✓✓b. proportion of variation
• The ________ of the simple linear regression model is the value of y when the mean
value of x is zero.
a. y-intercept
b. slope
c. independent variable
d. response variable -✓✓a. y-intercept
• In multiple regression analysis, the explained sum of squares divided by the total sum
of squares yields the __________.
a. standard error
b. F statistic
c. R2
d. adjusted R2 or R−2
e. t statistic -✓✓c. R2
• Which one of the following is not an assumption about the residuals in a regression
model?
a. constant variance
b. independence
c. normality
d. variance of zero
e. mean of zero -✓✓d. variance of zero
