+1 (208) 254-6996 [email protected]
  
https://www.seu.edu.sa/sites/ar/SitePages/images/logo.png

College of Administrative and Financial Sciences

Assignment 3

Don't use plagiarized sources. Get Your Custom Essay on
Actt 301
Just from $13/Page
Order Essay

Deadline: 10/04/2021 @ 23:59 (End of week 12)

Course Name: Cost accountingStudent’s Name:
Course Code: ACCT 301Student’s ID Number:
Semester: 1CRN:
Academic Year: 1441/1442 H

For Instructor’s Use only

Instructor’s Name: Dr. Mohammed Arshad Khan
Students’ Grade: Marks Obtained / Out ofLevel of Marks: High/Middle/Low

Instructions – PLEASE

· The Assignment must be submitted on Blackboard (WORD format only) via allocated folder.

· Assignments submitted through email will not be accepted.

· Students are advised to make their work clear and well presented, marks may be reduced for poor presentation. This includes filling your information on the cover page.

· Students must mention question number clearly in their answer.

· Late submission will NOT be accepted.

· Avoid plagiarism, the work should be in your own words, copying from students or other resources without proper referencing will result in ZERO marks. No exceptions.

· All answered must be typed using Times New Roman (size 12, double-spaced) font. No pictures containing text will be accepted and will be considered plagiarism).

· Submissions without this cover page will NOT be accepted.

Q1 What are support departments, and why are their costs allocated to other departments? What process is used to allocate support department costs?

(1.5 Marks, week 10 materials)

Q2 How are joint costs allocated? Explain and analyze using numerical example.

(1.5 Marks, week 11 materials)

.

Q 3 How are budget variances calculated and used as performance measures? Provide numerical example?

(2 Marks, week 12 materials)

Page 1 of 2

MAT 303 Module Five Problem Set Report

Logistic Regression

[Your Full Name]

[Your SNHU Email]

Southern New Hampshire University

Note: Replace the bracketed text on page one (the cover page) with your personal information.

1. Introduction

Discuss the statement of the problem with regard to the statistical analyses that are being performed. Address the following questions in your analysis:

· What is the data set that you are exploring?

· How might your results be used?

· What type of analyses will you be running in this problem set?

 Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R code in your report.

2. Data Preparation

There are some important variables that you have been asked to analyze in this problem set. Identify and explain these variables. Address the following questions in your analysis:

· What are the important variables in this data set?

· How many rows and columns are present in this data set?

 Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R code in your report.

3. First Logistic Regression Model

Reporting Results

Report the results of the regression model. Address the following questions in your analysis:

· Write the general form of a logistic regression model for defaulting on credit, using credit utilization and missed payments as independent variables. Note that this general form should be written in terms of E(y) and exponents.

· Now write this model in terms of the natural log of odds to express the beta terms in linear form.

· What do the following terms, from the general form of the model above, mean in terms of an individual defaulting on their credit?

a. 

b. 

· Create this logistic regression model and write its equation in terms of E(y) and in terms of the natural log of odds.

· Interpret the estimated coefficient of credit utilization.

· Obtain the confusion matrix and report the counts for true positives, true negatives, false positives, and false negatives.

· Report the following:

a. Accuracy

b. Precision

c. Recall

 Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R code in your report.

Evaluating Model Significance

Evaluate model significance for the regression model. Address the following questions in your analysis:

· Perform the Hosmer-Lemeshow goodness of fit test to assess whether the model is appropriate for the data set. Identify the null and alternative hypotheses, the test statistic, and the P-value. Use a 5% level of significance.

· Which terms are significant in the model based on Wald’s test? Use a 5% level of significance.

· Obtain the Receiver Operating Characteristic (ROC) curve. Interpret the graph and explain what it illustrates.

· What is the value of AUC? Interpret what this value represents.

 Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R code in your report.

Making Predictions Using Model

Make predictions using the regression model. Address the following questions in your analysis:

· What is the probability of an individual who has a credit utilization of 32% and has missed payments in the past three months defaulting on credit? Find the odds of this event occurring. Comment on these outputs.

· What is the probability of an individual who has a credit utilization of 32% and has not missed payments in the past three months defaulting on credit? Find the odds of this event occurring. Comment on these outputs.

 Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R code in your report.

4. Second Logistic Regression Model

Reporting Results

Report the results of the regression model. Address the following questions in your analysis:

· Write the general form of a logistic regression model for defaulting on credit using credit utilization, assets, and education as independent variables. Note that this general form should be written in terms of E(y) and exponents.

· Now write this model in terms of the natural log of odds to express the beta terms in linear form.

· Create this logistic regression model and write its equation in terms of E(y) and in terms of the natural log of odds.

· Obtain the confusion matrix and report the counts for true positives, true negatives, false positives, and false negatives.

· Report the following:

a. Accuracy

b. Precision

c. Recall

 Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R code in your report.

Evaluating Model Significance

Evaluate model significance for the regression model. Address the following questions in your analysis:

· Perform the Hosmer-Lemeshow goodness of fit test to assess whether the model is appropriate for the data set. Identify the null and alternative hypotheses, the test statistic, and the P-value. Use a 5% level of significance.

· Which terms are significant in the model based on Wald’s test? Use a 5% level of significance.

· Obtain the ROC curve. Interpret the graph and explain what it illustrates.

· What is the value of AUC? Interpret what this value represents.

 Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R code in your report.

Making Predictions Using Model

Make predictions using the regression model. Address the following questions in your analysis:

· What is the probability of an individual who has a credit utilization of 43%, owns a car and a house, and has attained a high school diploma defaulting on credit? Find the odds of this event occurring. Comment on these outputs.

· What is the probability of an individual who has a credit utilization of 43%, owns a car and a house, and has attained a postgraduate degree defaulting on credit? Find the odds of this event occurring. Comment on these outputs.

 Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R code in your report.

5. Conclusion

Describe the results of the statistical analyses and address the following questions:

· Based on the analysis that you have performed and assuming that the sample size is sufficiently large, would you recommend using this model? Why or why not?

· Fully describe what these results mean in your scenario using proper statistical terms and concepts.

· What is the practical importance of the analyses that were performed?

 Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R code in your report.

6. Citations

You are not required to use external resources for this report. If none were used, remove this entire section. However, if you used any resources to help you with your interpretation, you must cite them. Use proper APA format for citations.

Insert references here in the following format:

Author’s Last Name, First Initial. Middle Initial. (Year of Publication). Title of book: Subtitle of book, edition. Place of Publication: Publisher.

5

Order your essay today and save 10% with the discount code ESSAYHELP