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WU Quantitative Reasoning & Analysis Multiple Regression in Practice Discussion
For this Assignment, you will continue your practice as a critical consumer of research. You will critically evaluate a sc ...
WU Quantitative Reasoning & Analysis Multiple Regression in Practice Discussion
For this Assignment, you will continue your practice as a critical consumer of research. You will critically evaluate a scholarly article related to multiple regression. Search for a quantitative article that includes multiple regression testing.Write a 3- to 5-paragraphs critique of the article (2 to 3 pages). In your critique, include responses to the following:
Why did the authors use multiple regression?
Do you think it’s the most appropriate choice? Why or why not?
Did the authors display the data?
Do the results stand alone? Why or why not?
Did the authors report effect size? If yes, is this meaningful?
Use proper APA format, citations, and referencing.Required Readings
Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 12, “Regression and Correlation” (pp. 325-371) (previously read in Week 8)
Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, and 8)
ACC 202 Saint Leo University Managerial Accounting and Integrity Discussion
This discussion focuses on the core value of Integrity. Students should be able to describe how this fits in with the fie ...
ACC 202 Saint Leo University Managerial Accounting and Integrity Discussion
This discussion focuses on the core value of Integrity. Students should be able to describe how this fits in with the field of Managerial Accounting.Explain how Saint Leo’s core value of Integrity is relevant to Managerial Accounting.provide re
4 pages
Project 5
Write your answers in the space provided in your own words. 1. Presbycusis is the graduated hearing loss that occurs as a ...
Project 5
Write your answers in the space provided in your own words. 1. Presbycusis is the graduated hearing loss that occurs as a person ages. An estimated ...
Week 8 Module Problem Set
Details:This problem set introduces you to the use of SPSS for analyzing data with more than one IV and more than one DV t ...
Week 8 Module Problem Set
Details:This problem set introduces you to the use of SPSS for analyzing data with more than one IV and more than one DV to investigate comparison of means. You will perform a one-way between subjects MANOVA on the data and report your output.General Requirements:Use the following information to ensure successful completion of the assignment:Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.Download "Module 8 Problem Set" and use it for this assignment.Directions:Perform the following tasks to complete this assignment:Conduct necessary analyses using SPSS so you can answer the questions listed in the exercise.Submit your responses to the exercise questions as a Word document.Submit the SPSS Output files showing the analyses you performed in SPSS to compute the answers for related questions. (Note: You will need to copy the SPSS file to a Word doc for submission.)Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached problem set and solutions for completion of assignment.
Liberty University Statistics K-Nearest Neighbor Classification Essay
k-Nearest Neighbor Classification
The purpose of this assignment is to perform k-Nearest Neighbor classification, interpre ...
Liberty University Statistics K-Nearest Neighbor Classification Essay
k-Nearest Neighbor Classification
The purpose of this assignment is to perform k-Nearest Neighbor classification, interpret the results, and analyze whether or not the information generated can be used to address a specific business problem.
For this assignment, you will use the "Adult Incomes" data set from the Topic Materials.
ABC Survey Company collects data via surveys that it then sells to marketing departments. Marketing departments typically do not like missing data. Since survey takers typically do not like to answer questions regarding their salary, the one question usually missing from the survey results is, "Is your annual salary $50,000 or more?"
You are the analyst who has been tasked with finding a way to impute (i.e., fill-in) the answer to the question, "Is your annual salary $50,000 or more?" This information can best be imputed based upon how individuals answer other survey questions related to their marital status, educational level, occupation, and familial relationship status. If this important question can be accurately imputed, then the worth of the survey data provided by ABC Survey Company increases dramatically.
Question 1: Using only "Marital_Status," "Education," "Occupation," and "Relationship" variables, find the number of neighbors (k) that minimizes the error rate. Use a range of k between 3 and 10. Include the "k Selection Error Log" output when submitting the answer.
Question 2: Using the same variables and the k selected in Question 1, rerun the nearest neighbor model using the feature selection option in the IBM SPSS Modeler. What is the set of variables that minimize the error rate? Include the "Predictor Selection Error Log" output when submitting the answer.
Question 3: Using the value of k and the set of variables that minimizes the error rate, rerun the k-Nearest Neighbor model. What is the classification table? Include the pivot table output when submitting the answer.
Question 4: Consider the following individual: Marital_Status=Never-married, Education=Masters, Occupation=Sales, and Relationship=Not-in-family. Based on the k-Nearest Neighbor model from Question 3, how would this individual be classified? Provide the predicted income level (">50K" or "<=50K") and explain the process that you used to determine the income level. Include the table illustrating the data when submitting the answer.
Question 5: Describe the model building process you used to determine whether or not a particular survey taker earned an annual salary of $50,000 or more. Include discussion of the accuracy of the k-Nearest Neighbor model and how it can be used in practice to impute the answer to the question, "Is your annual salary $50,000 or more?"
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Most Popular Content
WU Quantitative Reasoning & Analysis Multiple Regression in Practice Discussion
For this Assignment, you will continue your practice as a critical consumer of research. You will critically evaluate a sc ...
WU Quantitative Reasoning & Analysis Multiple Regression in Practice Discussion
For this Assignment, you will continue your practice as a critical consumer of research. You will critically evaluate a scholarly article related to multiple regression. Search for a quantitative article that includes multiple regression testing.Write a 3- to 5-paragraphs critique of the article (2 to 3 pages). In your critique, include responses to the following:
Why did the authors use multiple regression?
Do you think it’s the most appropriate choice? Why or why not?
Did the authors display the data?
Do the results stand alone? Why or why not?
Did the authors report effect size? If yes, is this meaningful?
Use proper APA format, citations, and referencing.Required Readings
Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 12, “Regression and Correlation” (pp. 325-371) (previously read in Week 8)
Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, and 8)
ACC 202 Saint Leo University Managerial Accounting and Integrity Discussion
This discussion focuses on the core value of Integrity. Students should be able to describe how this fits in with the fie ...
ACC 202 Saint Leo University Managerial Accounting and Integrity Discussion
This discussion focuses on the core value of Integrity. Students should be able to describe how this fits in with the field of Managerial Accounting.Explain how Saint Leo’s core value of Integrity is relevant to Managerial Accounting.provide re
4 pages
Project 5
Write your answers in the space provided in your own words. 1. Presbycusis is the graduated hearing loss that occurs as a ...
Project 5
Write your answers in the space provided in your own words. 1. Presbycusis is the graduated hearing loss that occurs as a person ages. An estimated ...
Week 8 Module Problem Set
Details:This problem set introduces you to the use of SPSS for analyzing data with more than one IV and more than one DV t ...
Week 8 Module Problem Set
Details:This problem set introduces you to the use of SPSS for analyzing data with more than one IV and more than one DV to investigate comparison of means. You will perform a one-way between subjects MANOVA on the data and report your output.General Requirements:Use the following information to ensure successful completion of the assignment:Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.Download "Module 8 Problem Set" and use it for this assignment.Directions:Perform the following tasks to complete this assignment:Conduct necessary analyses using SPSS so you can answer the questions listed in the exercise.Submit your responses to the exercise questions as a Word document.Submit the SPSS Output files showing the analyses you performed in SPSS to compute the answers for related questions. (Note: You will need to copy the SPSS file to a Word doc for submission.)Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached problem set and solutions for completion of assignment.
Liberty University Statistics K-Nearest Neighbor Classification Essay
k-Nearest Neighbor Classification
The purpose of this assignment is to perform k-Nearest Neighbor classification, interpre ...
Liberty University Statistics K-Nearest Neighbor Classification Essay
k-Nearest Neighbor Classification
The purpose of this assignment is to perform k-Nearest Neighbor classification, interpret the results, and analyze whether or not the information generated can be used to address a specific business problem.
For this assignment, you will use the "Adult Incomes" data set from the Topic Materials.
ABC Survey Company collects data via surveys that it then sells to marketing departments. Marketing departments typically do not like missing data. Since survey takers typically do not like to answer questions regarding their salary, the one question usually missing from the survey results is, "Is your annual salary $50,000 or more?"
You are the analyst who has been tasked with finding a way to impute (i.e., fill-in) the answer to the question, "Is your annual salary $50,000 or more?" This information can best be imputed based upon how individuals answer other survey questions related to their marital status, educational level, occupation, and familial relationship status. If this important question can be accurately imputed, then the worth of the survey data provided by ABC Survey Company increases dramatically.
Question 1: Using only "Marital_Status," "Education," "Occupation," and "Relationship" variables, find the number of neighbors (k) that minimizes the error rate. Use a range of k between 3 and 10. Include the "k Selection Error Log" output when submitting the answer.
Question 2: Using the same variables and the k selected in Question 1, rerun the nearest neighbor model using the feature selection option in the IBM SPSS Modeler. What is the set of variables that minimize the error rate? Include the "Predictor Selection Error Log" output when submitting the answer.
Question 3: Using the value of k and the set of variables that minimizes the error rate, rerun the k-Nearest Neighbor model. What is the classification table? Include the pivot table output when submitting the answer.
Question 4: Consider the following individual: Marital_Status=Never-married, Education=Masters, Occupation=Sales, and Relationship=Not-in-family. Based on the k-Nearest Neighbor model from Question 3, how would this individual be classified? Provide the predicted income level (">50K" or "<=50K") and explain the process that you used to determine the income level. Include the table illustrating the data when submitting the answer.
Question 5: Describe the model building process you used to determine whether or not a particular survey taker earned an annual salary of $50,000 or more. Include discussion of the accuracy of the k-Nearest Neighbor model and how it can be used in practice to impute the answer to the question, "Is your annual salary $50,000 or more?"
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