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1. OPEN ENDED Write an equation of a line with slope 0. Describe the graph of the equation.
Writing in Math Use the information about the grade of a road on page 71 to explain how slope applies to the steepness of roads. Include a graph of y = 0.08x, which corresponds to a grade of 8%.
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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.
Rasmussen College Descriptive Statistics Questions
InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in ...
Rasmussen College Descriptive Statistics Questions
InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobThe client needs the preliminary findings by the end of the day. Your boss asks you to first compute some basic statistics and then analyze the results in the four questions given in the Excel spreadsheet. I added the spreadsheet with the given information into the file uploads.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.
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CXU9ACreate a research question using the General Social Survey that can be answered by multiple regression.What is your research question?What is the null hypothesis for your question?What research design would align with this question?What dependent variable was used and how is it measured?What independent variable is used and how is it measured?What other variables were added to the multiple regression models as controls?What is the justification for adding the variables?If you found significance, what is the strength of the effect?Explain your results for a lay audience, explain what the answer to your research question.CXU9BTesting for Multiple RegressionUsing the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) Based on the dataset you chose, construct a research question that can be answered with a multiple regression analysis.Once you perform your multiple regression analysis, copy and paste your output into your Word document.Write a 1- to 2-page analysis of your multiple regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.CXU9CMultiple Regression in Practice (You can use any article on this)Write a 2- to 3-page critique of the article. 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?Use proper APA format, citations, and referencing.
Descriptive Statistics Data Analysis Plan
Please complete the template below, the data and instructions have been attached in a word document. Need this info to stu ...
Descriptive Statistics Data Analysis Plan
Please complete the template below, the data and instructions have been attached in a word document. Need this info to study for a midterm. Scenario: Please write a few lines describing your scenario and the four variables (in addition to income) you have selected. Use Table 1 to report the variables selected for this assignment. Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 1. Variables Selected for the Analysis Variable Name in the Data Set Description (See the data dictionary for describing the variables.) Type of Variable (Qualitative or Quantitative) Variable 1: “Income” Annual household income in USD. Quantitative Variable 2: Variable 3: Variable 4: Variable 5: Reason(s) for Selecting the Variables and Expected Outcome(s): Variable 1: “Income” -Variable 2: ““ -Variable 3: ““-Variable 4: ““-Variable 5: ““- Data Set Description: Proposed Data Analysis: Measures of Central Tendency and Dispersion Complete Table 2. Numerical Summaries of the Selected Variables and briefly explain why you choose those measurements.Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 2. Numerical Summaries of the Selected Variables Variable Name Measures of Central Tendency and Dispersion Rationale for Why Appropriate Variable 1: “Income” Number of ObservationsMedianSample Standard Deviation I am using median for two reasons: If there are any outliers or the data is not normally distributed, the median is the best measure of central tendency.The variable is quantitative. I am using sample standard deviation for three reasons: The data is a sample from a larger data set.It is the most commonly used measure of dispersion.The variable is quantitative. Variable 2: Variable 3: Variable 4: Variable 5: Graphs and/or Tables Complete Table 3. Type of Graphs and/or Table for Selected Variables and briefly explain why you choose those graphs and/or tables.Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 3. Type of Graphs and/or Tables for Selected Variables Variable Name Graph and/or Table Rationale for why Appropriate? Variable 1: “Income” Graph: I will use the histogram to show the normal distribution of data. Histogram is one of the best plot to show the normal distribution of quantitative level data . Variable 2: Variable 3: Variable 4: Variable 5:
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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.
Rasmussen College Descriptive Statistics Questions
InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in ...
Rasmussen College Descriptive Statistics Questions
InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobThe client needs the preliminary findings by the end of the day. Your boss asks you to first compute some basic statistics and then analyze the results in the four questions given in the Excel spreadsheet. I added the spreadsheet with the given information into the file uploads.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.
22 pages
Mc Practice Homework
The plot below gives quarterly auto sales (in millions) for the first quarter of 2000 through the last Using regression so ...
Mc Practice Homework
The plot below gives quarterly auto sales (in millions) for the first quarter of 2000 through the last Using regression software, the estimated linear ...
Multiple Regression
CXU9ACreate a research question using the General Social Survey that can be answered by multiple regression.What is your r ...
Multiple Regression
CXU9ACreate a research question using the General Social Survey that can be answered by multiple regression.What is your research question?What is the null hypothesis for your question?What research design would align with this question?What dependent variable was used and how is it measured?What independent variable is used and how is it measured?What other variables were added to the multiple regression models as controls?What is the justification for adding the variables?If you found significance, what is the strength of the effect?Explain your results for a lay audience, explain what the answer to your research question.CXU9BTesting for Multiple RegressionUsing the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) Based on the dataset you chose, construct a research question that can be answered with a multiple regression analysis.Once you perform your multiple regression analysis, copy and paste your output into your Word document.Write a 1- to 2-page analysis of your multiple regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.CXU9CMultiple Regression in Practice (You can use any article on this)Write a 2- to 3-page critique of the article. 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?Use proper APA format, citations, and referencing.
Descriptive Statistics Data Analysis Plan
Please complete the template below, the data and instructions have been attached in a word document. Need this info to stu ...
Descriptive Statistics Data Analysis Plan
Please complete the template below, the data and instructions have been attached in a word document. Need this info to study for a midterm. Scenario: Please write a few lines describing your scenario and the four variables (in addition to income) you have selected. Use Table 1 to report the variables selected for this assignment. Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 1. Variables Selected for the Analysis Variable Name in the Data Set Description (See the data dictionary for describing the variables.) Type of Variable (Qualitative or Quantitative) Variable 1: “Income” Annual household income in USD. Quantitative Variable 2: Variable 3: Variable 4: Variable 5: Reason(s) for Selecting the Variables and Expected Outcome(s): Variable 1: “Income” -Variable 2: ““ -Variable 3: ““-Variable 4: ““-Variable 5: ““- Data Set Description: Proposed Data Analysis: Measures of Central Tendency and Dispersion Complete Table 2. Numerical Summaries of the Selected Variables and briefly explain why you choose those measurements.Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 2. Numerical Summaries of the Selected Variables Variable Name Measures of Central Tendency and Dispersion Rationale for Why Appropriate Variable 1: “Income” Number of ObservationsMedianSample Standard Deviation I am using median for two reasons: If there are any outliers or the data is not normally distributed, the median is the best measure of central tendency.The variable is quantitative. I am using sample standard deviation for three reasons: The data is a sample from a larger data set.It is the most commonly used measure of dispersion.The variable is quantitative. Variable 2: Variable 3: Variable 4: Variable 5: Graphs and/or Tables Complete Table 3. Type of Graphs and/or Table for Selected Variables and briefly explain why you choose those graphs and/or tables.Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 3. Type of Graphs and/or Tables for Selected Variables Variable Name Graph and/or Table Rationale for why Appropriate? Variable 1: “Income” Graph: I will use the histogram to show the normal distribution of data. Histogram is one of the best plot to show the normal distribution of quantitative level data . Variable 2: Variable 3: Variable 4: Variable 5:
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Poverty And Crime 2
In the United States, crime exists everywhere both in rural areas and urban settings. Due to this, officials have come up ...
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In the United States, crime exists everywhere both in rural areas and urban settings. Due to this, officials have come up with various hypotheses to ...
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