BNAL EXAM 2 QUESTIONS AND VERIFIED ANSWERS
The Y-intercept (b0) represents the - Answers - predicted value of Y when X = 0
The slope (b1) represents - Answers - the estimated average change in Y per unit
change in X
A candy bar manufacturer is interested in trying to estimate how sales are influenced by
the price of their product. To do this, the company randomly chooses 6 small cities and
offers the candy bar at different prices. Using candy bar sales as the dependent
variable, the company will conduct a simple linear regression on the data below
Referring to Table 13-2, what is the estimated mean change in the sales of the candy
bar if price goes up by $1.00? - Answers - -48.193
A candy bar manufacturer is interested in trying to estimate how sales are influenced by
the price of their product. To do this, the company randomly chooses 6 small cities and
offers the candy bar at different prices. Using candy bar sales as the dependent
variable, the company will conduct a simple linear regression on the data below:
Referring to Table 13-2, what is the coefficient of correlation for these data? - Answers -
-0.8854
A candy bar manufacturer is interested in trying to estimate how sales are influenced by
the price of their product. To do this, the company randomly chooses 6 small cities and
offers the candy bar at different prices. Using candy bar sales as the dependent
variable, the company will conduct a simple linear regression on the data below:
Referring to Table 13-2, what is the percentage of the total variation in candy bar sales
explained by the regression model? - Answers - 78.39%
A candy bar manufacturer is interested in trying to estimate how sales are influenced by
the price of their product. To do this, the company randomly chooses 6 small cities and
offers the candy bar at different prices. Using candy bar sales as the dependent
variable, the company will conduct a simple linear regression on the data below:
Referring to Table 13-2, if the price of the candy bar is set at $2, the estimated mean
sales will be - Answers - 65
The Chancellor of a university has commissioned a team to collect data on students'
GPAs and the amount of time they spend bar hopping every week (measured in
minutes). He wants to know if imposing much tougher regulations on all campus bars to
make it more difficult for students to spend time in any campus bar will have a
significant impact on general students' GPAs. His team should use a t test on the slope
of the population regression - Answers - True
, The following Excel tables are obtained when "Score received on an exam (measured in
percentage points)" (Y) is regressed on "percentage attendance" (X) for 22 students in a
Statistics for Business and Economics course.
Referring to Table 13-6, which of the following statements is true? - Answers - 2% of the
total variability in score received can be explained by percentage attendance
The following Excel tables are obtained when "Score received on an exam (measured in
percentage points)" (Y) is regressed on "percentage attendance" (X) for 22 students in a
Statistics for Business and Economics course.
Referring to Table 13-6, which of the following statements is true? - Answers - If
attendance increases by 1%, the estimated mean score received will increase by 0.341
percentage points
The residuals represent - Answers - the difference between the actual Y values and the
predicted Y values
The strength of the linear relationship between two numerical variables may be
measured by the - Answers - coefficient of correlation
In a simple linear regression problem, r and b1 - Answers - must have the same sign
A computer software developer would like to use the number of downloads (in
thousands) for the trial version of his new shareware to predict the amount of revenue
(in thousands of dollars) he can make on the full version of the new shareware.
Following is the output from a simple linear regression along with the residual plot and
normal probability plot obtained from a data set of 30 different sharewares that he has
developed:
Referring to table 13-11, which of the following is the correct interpretation for the slope
coefficient? - Answers - For each increase of 1 thousand downloads, the expected
revenue is estimated to increase by $ 3.7297 thousands.
A computer software developer would like to use the number of downloads (in
thousands) for the trial version of his new shareware to predict the amount of revenue
(in thousands of dollars) he can make on the full version of the new shareware.
Following is the output from a simple linear regression along with the residual plot and
normal probability plot obtained from a data set of 30 different sharewares that he has
developed:
Referring to Table 13-11, which of the following is the correct interpretation for the
coefficient of determination? - Answers - 75.54% of the variation in revenue can be
explained by the variation in the number of downloads
A computer software developer would like to use the number of downloads (in
thousands) for the trial version of his new shareware to predict the amount of revenue
(in thousands of dollars) he can make on the full version of the new shareware.
Following is the output from a simple linear regression along with the residual plot and
The Y-intercept (b0) represents the - Answers - predicted value of Y when X = 0
The slope (b1) represents - Answers - the estimated average change in Y per unit
change in X
A candy bar manufacturer is interested in trying to estimate how sales are influenced by
the price of their product. To do this, the company randomly chooses 6 small cities and
offers the candy bar at different prices. Using candy bar sales as the dependent
variable, the company will conduct a simple linear regression on the data below
Referring to Table 13-2, what is the estimated mean change in the sales of the candy
bar if price goes up by $1.00? - Answers - -48.193
A candy bar manufacturer is interested in trying to estimate how sales are influenced by
the price of their product. To do this, the company randomly chooses 6 small cities and
offers the candy bar at different prices. Using candy bar sales as the dependent
variable, the company will conduct a simple linear regression on the data below:
Referring to Table 13-2, what is the coefficient of correlation for these data? - Answers -
-0.8854
A candy bar manufacturer is interested in trying to estimate how sales are influenced by
the price of their product. To do this, the company randomly chooses 6 small cities and
offers the candy bar at different prices. Using candy bar sales as the dependent
variable, the company will conduct a simple linear regression on the data below:
Referring to Table 13-2, what is the percentage of the total variation in candy bar sales
explained by the regression model? - Answers - 78.39%
A candy bar manufacturer is interested in trying to estimate how sales are influenced by
the price of their product. To do this, the company randomly chooses 6 small cities and
offers the candy bar at different prices. Using candy bar sales as the dependent
variable, the company will conduct a simple linear regression on the data below:
Referring to Table 13-2, if the price of the candy bar is set at $2, the estimated mean
sales will be - Answers - 65
The Chancellor of a university has commissioned a team to collect data on students'
GPAs and the amount of time they spend bar hopping every week (measured in
minutes). He wants to know if imposing much tougher regulations on all campus bars to
make it more difficult for students to spend time in any campus bar will have a
significant impact on general students' GPAs. His team should use a t test on the slope
of the population regression - Answers - True
, The following Excel tables are obtained when "Score received on an exam (measured in
percentage points)" (Y) is regressed on "percentage attendance" (X) for 22 students in a
Statistics for Business and Economics course.
Referring to Table 13-6, which of the following statements is true? - Answers - 2% of the
total variability in score received can be explained by percentage attendance
The following Excel tables are obtained when "Score received on an exam (measured in
percentage points)" (Y) is regressed on "percentage attendance" (X) for 22 students in a
Statistics for Business and Economics course.
Referring to Table 13-6, which of the following statements is true? - Answers - If
attendance increases by 1%, the estimated mean score received will increase by 0.341
percentage points
The residuals represent - Answers - the difference between the actual Y values and the
predicted Y values
The strength of the linear relationship between two numerical variables may be
measured by the - Answers - coefficient of correlation
In a simple linear regression problem, r and b1 - Answers - must have the same sign
A computer software developer would like to use the number of downloads (in
thousands) for the trial version of his new shareware to predict the amount of revenue
(in thousands of dollars) he can make on the full version of the new shareware.
Following is the output from a simple linear regression along with the residual plot and
normal probability plot obtained from a data set of 30 different sharewares that he has
developed:
Referring to table 13-11, which of the following is the correct interpretation for the slope
coefficient? - Answers - For each increase of 1 thousand downloads, the expected
revenue is estimated to increase by $ 3.7297 thousands.
A computer software developer would like to use the number of downloads (in
thousands) for the trial version of his new shareware to predict the amount of revenue
(in thousands of dollars) he can make on the full version of the new shareware.
Following is the output from a simple linear regression along with the residual plot and
normal probability plot obtained from a data set of 30 different sharewares that he has
developed:
Referring to Table 13-11, which of the following is the correct interpretation for the
coefficient of determination? - Answers - 75.54% of the variation in revenue can be
explained by the variation in the number of downloads
A computer software developer would like to use the number of downloads (in
thousands) for the trial version of his new shareware to predict the amount of revenue
(in thousands of dollars) he can make on the full version of the new shareware.
Following is the output from a simple linear regression along with the residual plot and
