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logistic regression: using sas
Problem 1 Churn analysisGiven the large number of competitors, cell phone carriers are very interested in analyzing and p ...
logistic regression: using sas
Problem 1 Churn analysisGiven the large number of competitors, cell phone carriers are very interested in analyzing and predicting customer retention and churn. The primary goal of churn analysis is to identify those customers that are most likely to discontinue using your service or product. The dataset churn_train.csv contains information about a random sample of customers of a cell phone company.The company is interested in a churn predictive model that identifies the most important predictors affecting probability of switching to a different mobile phone company (churn = 1). Answer the following questions:Create two boxplots to analyze the observed values of age and PCT_CHNG_BILL_AMT by churn value. Analyze the boxplots and discuss how customer age and changes in bill amount affect churn probabilities. Include the boxplots.Using a selection method, fit the final logistic regression model to predict the churn probability using the data in the dataset (Churn is the response variable and the remaining variables are the independent x-variables). Include the SAS output. Write down the expression of the fitted model. Analyze the final logistic regression model and discuss the effect of each variable on the churn probability. Using SAS, compute the predicted churn probability and the confidence interval for a male customer who is 43 years old, and has the following information LAST_PRICE_PLAN_CHNG_DAY_CNT=0, TOT_ACTV_SRV_CN=4, PCT_CHNG_IB_SMS_CNT= 1.04, PCT_CHNG_BILL_AMT= 1.19, and COMPLAINT =1. Include the output, interpret and explain the 3 values you obtained.Copy and paste your FULL SAS code into the word document along with your answers.
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Most Popular Content
logistic regression: using sas
Problem 1 Churn analysisGiven the large number of competitors, cell phone carriers are very interested in analyzing and p ...
logistic regression: using sas
Problem 1 Churn analysisGiven the large number of competitors, cell phone carriers are very interested in analyzing and predicting customer retention and churn. The primary goal of churn analysis is to identify those customers that are most likely to discontinue using your service or product. The dataset churn_train.csv contains information about a random sample of customers of a cell phone company.The company is interested in a churn predictive model that identifies the most important predictors affecting probability of switching to a different mobile phone company (churn = 1). Answer the following questions:Create two boxplots to analyze the observed values of age and PCT_CHNG_BILL_AMT by churn value. Analyze the boxplots and discuss how customer age and changes in bill amount affect churn probabilities. Include the boxplots.Using a selection method, fit the final logistic regression model to predict the churn probability using the data in the dataset (Churn is the response variable and the remaining variables are the independent x-variables). Include the SAS output. Write down the expression of the fitted model. Analyze the final logistic regression model and discuss the effect of each variable on the churn probability. Using SAS, compute the predicted churn probability and the confidence interval for a male customer who is 43 years old, and has the following information LAST_PRICE_PLAN_CHNG_DAY_CNT=0, TOT_ACTV_SRV_CN=4, PCT_CHNG_IB_SMS_CNT= 1.04, PCT_CHNG_BILL_AMT= 1.19, and COMPLAINT =1. Include the output, interpret and explain the 3 values you obtained.Copy and paste your FULL SAS code into the word document along with your answers.
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Imagine you are writing exam questions for an algebra course. You want to write questions that include finding the zeros o ...
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Imagine you are writing exam questions for an algebra course. You want to write questions that include finding the zeros of polynomials. To balance ...
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FST Chapter 7: Probability and Simulation There are 27 questions from the Chapter Review on pages 482-485 of our textbo ...
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FST Chapter 7: Probability and Simulation There are 27 questions from the Chapter Review on pages 482-485 of our textbook (see attachments). **Helpful tip: There are answers to the odd numbered questions in the back of the textbook. Use these to help you make sure you are on the right track for the questions on the assignment (see attachments). At the end of the assignment, there are an additional 10 questions that are not from the textbook. Show your work and circle your answers for each question below. If your answer is not correct I will look at your work to see if I can award partial credit. You may attach your work to this as long as you clearly mark which problem is being worked. When you are finished you should scan or take photos of the pages and send back to me. I suggest using the Camscanner app (free version) or a similar program so that you can attach your entire assignment as 1 file. When using this app, select the batch function so that you can take multiple pictures. Please take any photos in bright light so that your answers and work show up clearly - then submit it as a PDF file. It is okay to hand write work/answers, as long as it is clear what work belongs with what question and the answers are circled. The assigned questions are in the attachments.
21 pages
Kaplan Meier Curve Spss Report
The new TIME variable has been computed using the “ Compute Variable” command in SPSS. The variable has been computed ...
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The new TIME variable has been computed using the “ Compute Variable” command in SPSS. The variable has been computed by subtracting the start ...
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Assignment.edited
Correlation and Bivariate regression are two commonly used statistical tests in the process of testing conditional stateme ...
Assignment.edited
Correlation and Bivariate regression are two commonly used statistical tests in the process of testing conditional statements aimed at making an ...
RSCH 8210/7210/6210 Walden University WK9 Multiple Regression in Practice HW
Write a 3- to 5-paragraphs critique of the article (2 to 3 pages). In your critique, include responses to the following:Wh ...
RSCH 8210/7210/6210 Walden University WK9 Multiple Regression in Practice HW
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.
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