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algebra 1.PNG algebra 2.PNG algebra 3.PNG algebra 4.PNG algebra 5.PNG if $1 is too little please still do it, because i am refilling my acc tommorow so whoever will be the bidder i will message and pay the full amount. thnkss :)
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Unitvii Assignment Making The Grade
In this assignment, you will be asked to calculate several statistics for a particular data set. Instructions: Imagine tha ...
Unitvii Assignment Making The Grade
In this assignment, you will be asked to calculate several statistics for a particular data set. Instructions: Imagine that you are a high school ...
Assignment 4
In this Assignment, you will be assessed based on the following outcome:
GB513-3: Predict business results by using quant ...
Assignment 4
In this Assignment, you will be assessed based on the following outcome:
GB513-3: Predict business results by using quantitative methods.
This Assignment requires you to use Excel in all three questions. Make sure you explain your
answers and provide the regression output tables for Questions 1 and 2.
Make sure to use the Unit 4 Assignment template from Course Documents when you turn in your
answers.
Question 1
Shown below are rental and leasing revenue figures for office machinery and equipment in the United
States over a 7-year period according to the U.S. Census Bureau. Use this data and the regression
tool in the data analysis tool pack to run a linear regression.
Based on the formula you get from the regression output, answer the following questions:
a) What is the forecast for the rental and leasing revenue for the year 2011?
b) How confident are you in this forecast? Explain your answer by citing the relevant metrics.
Year
Rental and
Leasing
($ millions)
2004 5,860
2005 6,632
2006 6,543
2007 5,952
2008 5,732
2009 5,423
2010 4,589
Question 2
Suppose a researcher gathered survey data from 19 employees and asked the employees to rate
their job satisfaction on a scale from 0 to 100 (with 100 being perfectly satisfied). Suppose the
following data represent the results of this survey. Assume that relationship with their supervisor is
rated on a scale from 0 to 50 (0 represents a poor relationship and 50 represents an excellent
relationship); overall quality of the work environment is rated on a scale from 0 to 100 (0 represents
poor work environment and 100 represents an excellent work environment); and opportunities for
GB513: Business Analytics
2 of 4
advancement is rated on a scale from 0 to 100 (0 represents no opportunities and 100 represents
excellent opportunities).
Answer the following questions:
a) What is the regression formula based on the results from your regression?
b) How reliable do you think the estimates will be based on this formula? Explain your answer by
citing the relevant metrics.
c) Are there any variables that do not appear to be good predictors of job satisfaction? How can
you tell?
d) If a new employee reports that her relationship with her supervisor is 40, rates her
opportunities for advancement to be at 30, finds the quality of the work environment to be at
75, and works 60 hours per week, what would you expect her job satisfaction score to be?
Job
satisfaction
Relationship
with
supervisor
Opportunities
for
advancement
Overall
quality of
work
environment
Total
hours
worked
per week
55 27 42 50 52
20 35 28 60 60
85 40 7 45 42
65 35 48 65 53
45 29 32 40 58
70 42 41 50 48
35 22 18 75 55
60 34 32 40 50
95 40 48 45 40
65 33 11 60 38
85 38 33 55 47
10 5 21 50 62
75 37 42 45 43
80 37 46 40 42
50 31 48 60 46
90 42 30 55 38
75 36 39 70 43
45 20 22 40 42
65 32 12 55 53
Question 3
GB513: Business Analytics
3 of 4
Investment analysts generally believe the interest rate on bonds is related to the prime interest rate
for loans.
a) Use the following data to construct a scatter graph and then fit a regression line to the data.
Report the regression formula and the r-squared values from the chart (right click on the data
points, select Add Trend line, and select options to show these metrics).
b) Do you think the bond rate can be predicted by the prime interest rate? Justify your answer
using the relevant metrics.
Prime
interest
rate
Bond
rate
5.0% 28.0%
12.0% 48.0%
9.0% 32.0%
1.5% 4.0%
0.4% 7.0%
11.0% 36.0%
6.0% 28.0%
2.0% 10.5%
Directions for submitting your Assignment
Make sure to use the Unit 4 Assignment template from Course Documents when you turn in your
answers. Submit your Assignment to the Unit 4 Dropbox.
Boston University Router Location and Security Essay
Your troubleshooting and problem-solving skills were invaluable in ensuring that your colleagues and clients at Prevail PT ...
Boston University Router Location and Security Essay
Your troubleshooting and problem-solving skills were invaluable in ensuring that your colleagues and clients at Prevail PT were able to access the company’s wireless network on opening day at the new office. You soon discover that those skills are a way of life for the E-Communications Administrator. Today is proof of that. Just as you pour your morning coffee, you started receiving calls regarding cell phone connectivity issues to the router and Wi-Fi.You receive slack messages from the receptionist indicating that two clients are having connection issues with their phones.In speaking with the trainer, you discover that he is trying to connect to the router, not to the access point. How would you explain the problem to him and what directions would you give him for disconnecting from the router and connecting to the access point? Record the issue on the Documentation Form.The other client is having trouble using her cellular data and doesn’t want to use the guest wifi because she’s worried it’s not secure enough. Troubleshoot and document this issue and your solution for the client. Record the issue on the Documentation Form.(addtional question: In your office, where is your router located? Is it in your server room for security purposes or out in the open for closer proximity to users? How do you reconcile the needs of both proximity and security? please put addtional question in a individual word document)
MATH136 Glendale Community Political Poll Hypothesis Tests
This discussion is based on the Logic of Hypothesis Testing activity from the Chapter 10 Student Activity Workbook accessi ...
MATH136 Glendale Community Political Poll Hypothesis Tests
This discussion is based on the Logic of Hypothesis Testing activity from the Chapter 10 Student Activity Workbook accessible from within MyLab. A pdf of the activity is attached to this discussion and can be downloaded using this link.In this activity you will use an applet to simulate a hypothesis test about a political poll. Step 1 - guided exploration with the appletFollow the steps in the attached activity document. Here's a direct link to the applet you need for this activity: https://www.statcrunch.com/app/index.php?launch=sullystats&app=politicalpoll (Links to an external site.)Step 2 - Post your thoughts on the questions in the activityPlease post to the discussion board with your answers to the questions embedded in all parts of the activity.Step 3 - Respond to at least one classmateUnlike some past discussions, I have not broken the class up into groups, and I have not set Canvas to assign you to review a particular classmate's post. You should just read your classmates' posts, and reply to anything you find noteworthy. This might be something that struck you as particularly interesting about how they answered the questions, a misconception you may have had that their post helped clarify for you, a misconception that they might have in their thinking, or anything else that stands out to you.You have to make your initial post before you can see the posts of other people in the class.
Sun Coast Remediation Data Set Discussion
Data Analysis: Hypothesis Testing
Use the Sun Coast Remediation data set to conduct a correlation analysis, simple regress ...
Sun Coast Remediation Data Set Discussion
Data Analysis: Hypothesis Testing
Use the Sun Coast Remediation data set to conduct a correlation analysis, simple regression analysis, and multiple regression analysis using the correlation tab, simple regression tab, and multiple regression tab respectively. The statistical output tables should be cut and pasted from Excel directly into the final project document. For the regression hypotheses, display and discuss the predictive regression equations.
Correlation: Hypothesis Testing
Restate the hypotheses:
Example:
Ho1: There is no statistically significant relationship between height and weight.
Ha1: There is a statistically significant relationship between height and weight.
Enter data output results from Excel Toolpak here.
Interpret and explain the correlation analysis results below the Excel output. Your explanation should include: r, r2, alpha level, p value, and rejection or acceptance of the null hypothesis and alternative hypothesis.
Example:
The Pearson correlation coefficient of r = .600 indicates a moderately strong positive correlation. This equates to an r2 of .36, explaining 36% of the variance between the variables.
Using an alpha of .05, the results indicate a p value of .023 < .05. Therefore, the null hypothesis is rejected, and the alternative hypothesis is accepted that there is a statistically significant relationship between height and weight.
Note: Excel data analysis Toolpak does not automatically calculate the p value when using the correlation function. As a workaround, the data should also be run using the regression function. The Multiple R is identical to the Pearson r in simple regression, R Square is shown, and the p value is generated. Be sure to show your results using both the correlation function and simple regression function.
Simple Regression: Hypothesis Testing
Restate the hypotheses:
Ho2:
Ha2:
Enter data output results from Excel Toolpak here.
Interpret and explain the simple regression analysis results below the Excel output. Your explanation should include: multiple R, R square, alpha level, ANOVA F value, accept or reject the null and alternative hypotheses for the model, statistical significance of the x variable coefficient, and the regression model as an equation with explanation.
Multiple Regression: Hypothesis Testing
Restate the hypotheses:
Ha3:
Ha3:
Enter data output results from Excel Toolpak here.
Interpret and explain the simple regression analysis results below the Excel output. Your explanation should include: multiple R, R square, alpha level, ANOVA F value, accept or reject the null and alternative hypotheses for the model, statistical significance of the x variable coefficients, and the regression model as an equation with explanation.
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Most Popular Content
3 pages
Unitvii Assignment Making The Grade
In this assignment, you will be asked to calculate several statistics for a particular data set. Instructions: Imagine tha ...
Unitvii Assignment Making The Grade
In this assignment, you will be asked to calculate several statistics for a particular data set. Instructions: Imagine that you are a high school ...
Assignment 4
In this Assignment, you will be assessed based on the following outcome:
GB513-3: Predict business results by using quant ...
Assignment 4
In this Assignment, you will be assessed based on the following outcome:
GB513-3: Predict business results by using quantitative methods.
This Assignment requires you to use Excel in all three questions. Make sure you explain your
answers and provide the regression output tables for Questions 1 and 2.
Make sure to use the Unit 4 Assignment template from Course Documents when you turn in your
answers.
Question 1
Shown below are rental and leasing revenue figures for office machinery and equipment in the United
States over a 7-year period according to the U.S. Census Bureau. Use this data and the regression
tool in the data analysis tool pack to run a linear regression.
Based on the formula you get from the regression output, answer the following questions:
a) What is the forecast for the rental and leasing revenue for the year 2011?
b) How confident are you in this forecast? Explain your answer by citing the relevant metrics.
Year
Rental and
Leasing
($ millions)
2004 5,860
2005 6,632
2006 6,543
2007 5,952
2008 5,732
2009 5,423
2010 4,589
Question 2
Suppose a researcher gathered survey data from 19 employees and asked the employees to rate
their job satisfaction on a scale from 0 to 100 (with 100 being perfectly satisfied). Suppose the
following data represent the results of this survey. Assume that relationship with their supervisor is
rated on a scale from 0 to 50 (0 represents a poor relationship and 50 represents an excellent
relationship); overall quality of the work environment is rated on a scale from 0 to 100 (0 represents
poor work environment and 100 represents an excellent work environment); and opportunities for
GB513: Business Analytics
2 of 4
advancement is rated on a scale from 0 to 100 (0 represents no opportunities and 100 represents
excellent opportunities).
Answer the following questions:
a) What is the regression formula based on the results from your regression?
b) How reliable do you think the estimates will be based on this formula? Explain your answer by
citing the relevant metrics.
c) Are there any variables that do not appear to be good predictors of job satisfaction? How can
you tell?
d) If a new employee reports that her relationship with her supervisor is 40, rates her
opportunities for advancement to be at 30, finds the quality of the work environment to be at
75, and works 60 hours per week, what would you expect her job satisfaction score to be?
Job
satisfaction
Relationship
with
supervisor
Opportunities
for
advancement
Overall
quality of
work
environment
Total
hours
worked
per week
55 27 42 50 52
20 35 28 60 60
85 40 7 45 42
65 35 48 65 53
45 29 32 40 58
70 42 41 50 48
35 22 18 75 55
60 34 32 40 50
95 40 48 45 40
65 33 11 60 38
85 38 33 55 47
10 5 21 50 62
75 37 42 45 43
80 37 46 40 42
50 31 48 60 46
90 42 30 55 38
75 36 39 70 43
45 20 22 40 42
65 32 12 55 53
Question 3
GB513: Business Analytics
3 of 4
Investment analysts generally believe the interest rate on bonds is related to the prime interest rate
for loans.
a) Use the following data to construct a scatter graph and then fit a regression line to the data.
Report the regression formula and the r-squared values from the chart (right click on the data
points, select Add Trend line, and select options to show these metrics).
b) Do you think the bond rate can be predicted by the prime interest rate? Justify your answer
using the relevant metrics.
Prime
interest
rate
Bond
rate
5.0% 28.0%
12.0% 48.0%
9.0% 32.0%
1.5% 4.0%
0.4% 7.0%
11.0% 36.0%
6.0% 28.0%
2.0% 10.5%
Directions for submitting your Assignment
Make sure to use the Unit 4 Assignment template from Course Documents when you turn in your
answers. Submit your Assignment to the Unit 4 Dropbox.
Boston University Router Location and Security Essay
Your troubleshooting and problem-solving skills were invaluable in ensuring that your colleagues and clients at Prevail PT ...
Boston University Router Location and Security Essay
Your troubleshooting and problem-solving skills were invaluable in ensuring that your colleagues and clients at Prevail PT were able to access the company’s wireless network on opening day at the new office. You soon discover that those skills are a way of life for the E-Communications Administrator. Today is proof of that. Just as you pour your morning coffee, you started receiving calls regarding cell phone connectivity issues to the router and Wi-Fi.You receive slack messages from the receptionist indicating that two clients are having connection issues with their phones.In speaking with the trainer, you discover that he is trying to connect to the router, not to the access point. How would you explain the problem to him and what directions would you give him for disconnecting from the router and connecting to the access point? Record the issue on the Documentation Form.The other client is having trouble using her cellular data and doesn’t want to use the guest wifi because she’s worried it’s not secure enough. Troubleshoot and document this issue and your solution for the client. Record the issue on the Documentation Form.(addtional question: In your office, where is your router located? Is it in your server room for security purposes or out in the open for closer proximity to users? How do you reconcile the needs of both proximity and security? please put addtional question in a individual word document)
MATH136 Glendale Community Political Poll Hypothesis Tests
This discussion is based on the Logic of Hypothesis Testing activity from the Chapter 10 Student Activity Workbook accessi ...
MATH136 Glendale Community Political Poll Hypothesis Tests
This discussion is based on the Logic of Hypothesis Testing activity from the Chapter 10 Student Activity Workbook accessible from within MyLab. A pdf of the activity is attached to this discussion and can be downloaded using this link.In this activity you will use an applet to simulate a hypothesis test about a political poll. Step 1 - guided exploration with the appletFollow the steps in the attached activity document. Here's a direct link to the applet you need for this activity: https://www.statcrunch.com/app/index.php?launch=sullystats&app=politicalpoll (Links to an external site.)Step 2 - Post your thoughts on the questions in the activityPlease post to the discussion board with your answers to the questions embedded in all parts of the activity.Step 3 - Respond to at least one classmateUnlike some past discussions, I have not broken the class up into groups, and I have not set Canvas to assign you to review a particular classmate's post. You should just read your classmates' posts, and reply to anything you find noteworthy. This might be something that struck you as particularly interesting about how they answered the questions, a misconception you may have had that their post helped clarify for you, a misconception that they might have in their thinking, or anything else that stands out to you.You have to make your initial post before you can see the posts of other people in the class.
Sun Coast Remediation Data Set Discussion
Data Analysis: Hypothesis Testing
Use the Sun Coast Remediation data set to conduct a correlation analysis, simple regress ...
Sun Coast Remediation Data Set Discussion
Data Analysis: Hypothesis Testing
Use the Sun Coast Remediation data set to conduct a correlation analysis, simple regression analysis, and multiple regression analysis using the correlation tab, simple regression tab, and multiple regression tab respectively. The statistical output tables should be cut and pasted from Excel directly into the final project document. For the regression hypotheses, display and discuss the predictive regression equations.
Correlation: Hypothesis Testing
Restate the hypotheses:
Example:
Ho1: There is no statistically significant relationship between height and weight.
Ha1: There is a statistically significant relationship between height and weight.
Enter data output results from Excel Toolpak here.
Interpret and explain the correlation analysis results below the Excel output. Your explanation should include: r, r2, alpha level, p value, and rejection or acceptance of the null hypothesis and alternative hypothesis.
Example:
The Pearson correlation coefficient of r = .600 indicates a moderately strong positive correlation. This equates to an r2 of .36, explaining 36% of the variance between the variables.
Using an alpha of .05, the results indicate a p value of .023 < .05. Therefore, the null hypothesis is rejected, and the alternative hypothesis is accepted that there is a statistically significant relationship between height and weight.
Note: Excel data analysis Toolpak does not automatically calculate the p value when using the correlation function. As a workaround, the data should also be run using the regression function. The Multiple R is identical to the Pearson r in simple regression, R Square is shown, and the p value is generated. Be sure to show your results using both the correlation function and simple regression function.
Simple Regression: Hypothesis Testing
Restate the hypotheses:
Ho2:
Ha2:
Enter data output results from Excel Toolpak here.
Interpret and explain the simple regression analysis results below the Excel output. Your explanation should include: multiple R, R square, alpha level, ANOVA F value, accept or reject the null and alternative hypotheses for the model, statistical significance of the x variable coefficient, and the regression model as an equation with explanation.
Multiple Regression: Hypothesis Testing
Restate the hypotheses:
Ha3:
Ha3:
Enter data output results from Excel Toolpak here.
Interpret and explain the simple regression analysis results below the Excel output. Your explanation should include: multiple R, R square, alpha level, ANOVA F value, accept or reject the null and alternative hypotheses for the model, statistical significance of the x variable coefficients, and the regression model as an equation with explanation.
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