# Review and revise

Parts I–II: Review and revise your individual project from last week. You must include parts I and II from Individual Project #4 as they will be graded again. Then, add the following responses to your document:

Part III: Regression and Correlation

Based on what you have learned from your research on regression analysis and correlation, answer the following questions about the Body Fat Versus Weight data set:

When performing a regression analysis, it is important to first identify your independent/predictor variable versus your dependent/response variable, or simply put, your x versus y variables. How do you decide which variable is your predictor variable and which is your response variable?

Based on the Body Fat Versus Weight data set, which variable is the predictor variable? Which variable is the response variable? Explain.

Using Excel, construct a scatter plot of your data.

Using the graph and intuition, determine whether there is a positive correlation, a negative correlation, or no correlation. How did you come to this conclusion?

Calculate the correlation coefficient, r, and verify your conclusion with your scatter plot. What does the correlation coefficient determine? Discuss the strength of the correlation coefficient calculated, and if the correlation is positive or negative.

Add a regression line to your scatter plot, and obtain the regression equation.

Does the line appear to be a good fit for the data? Why or why not?

Regression equations help you make predictions. Using your regression equation, discuss what the slope means, and determine the predicted value of weight when body fat is zero. Interpret the meaning of this result.

Part IV: Putting it Together

Your analysis is now complete, and you are ready to report your findings to your boss. In one paragraph, summarize your results by explaining your findings from the statistical measures, hypothesis test, and regression analysis of body fat and weight for the 252 men attending Silver’s Gym.

Here are some notes that the professor found necessary for the assignment. Some of this is redundant.

Individual Project Deliverable Length: See Assignment Details.

Description:

Parts I–II: Review and revise your individual project from last week. You must include parts I and II from Individual Project #4 as they will be graded again. Then, add the following responses to your document: (If you made a mistake in Phase 4 IP correct it here.)

Part III: Regression and Correlation

Based on what you have learned from your research on regression analysis and correlation, answer the following questions about the Body Fat Versus Weight data set:

When performing a regression analysis, it is important to first identify your independent/predictor variable versus your dependent/response variable, or simply put your x versus y variables. How do you decide which variable is your predictor variable and which is your response variable? We will go over this material in our Chats. It is not that difficult.

Based on the Body Fat Versus Weight data set, which variable is the predictor variable? Which variable is the response variable? Explain.

Using Excel, construct a scatter plot of your data. We will go over this material and the regressions equation in our Chats. It is not that difficult.

Using the graph and intuition, determine whether there is a positive correlation, a negative correlation, or no correlation. How did you come to this conclusion?

Calculate the correlation coefficient, r, and verify your conclusion with your scatter plot. What does the correlation coefficient determine? Discuss the strength of the correlation coefficient calculated, and if the correlation is positive or negative.

Add a regression line to your scatter plot, and obtain the regression equation.

Does the line appear to be a good fit for the data? Why or why not?

Regression equations help you make predictions. Using your regression equation, discuss what the slope means, and determine the predicted value of weight when body fat is zero. Interpret the meaning of this result. We will go over this and the regressions equation in our Chats.

Part IV: Putting it Together

Your analysis is now complete, and you are ready to report your findings to your boss. In one paragraph, summarize your results by explaining your findings from the statistical measures, hypothesis test, and regression analysis of body fat and weight for the 252 men attending Silver’s Gym.

Please submit your assignments, Word Document and Excel Workbook. Please write your last name first for the files’ names.

Part III: Regression and Correlation

Based on what you have learned from your research on regression analysis and correlation, answer the following questions about the Body Fat Versus Weight data set:

When performing a regression analysis, it is important to first identify your independent/predictor variable versus your dependent/response variable, or simply put, your x versus y variables. How do you decide which variable is your predictor variable and which is your response variable?

Based on the Body Fat Versus Weight data set, which variable is the predictor variable? Which variable is the response variable? Explain.

Using Excel, construct a scatter plot of your data.

Using the graph and intuition, determine whether there is a positive correlation, a negative correlation, or no correlation. How did you come to this conclusion?

Calculate the correlation coefficient, r, and verify your conclusion with your scatter plot. What does the correlation coefficient determine? Discuss the strength of the correlation coefficient calculated, and if the correlation is positive or negative.

Add a regression line to your scatter plot, and obtain the regression equation.

Does the line appear to be a good fit for the data? Why or why not?

Regression equations help you make predictions. Using your regression equation, discuss what the slope means, and determine the predicted value of weight when body fat is zero. Interpret the meaning of this result.

Part IV: Putting it Together

Your analysis is now complete, and you are ready to report your findings to your boss. In one paragraph, summarize your results by explaining your findings from the statistical measures, hypothesis test, and regression analysis of body fat and weight for the 252 men attending Silver’s Gym.

Here are some notes that the professor found necessary for the assignment. Some of this is redundant.

Individual Project Deliverable Length: See Assignment Details.

Description:

Parts I–II: Review and revise your individual project from last week. You must include parts I and II from Individual Project #4 as they will be graded again. Then, add the following responses to your document: (If you made a mistake in Phase 4 IP correct it here.)

Part III: Regression and Correlation

Based on what you have learned from your research on regression analysis and correlation, answer the following questions about the Body Fat Versus Weight data set:

When performing a regression analysis, it is important to first identify your independent/predictor variable versus your dependent/response variable, or simply put your x versus y variables. How do you decide which variable is your predictor variable and which is your response variable? We will go over this material in our Chats. It is not that difficult.

Based on the Body Fat Versus Weight data set, which variable is the predictor variable? Which variable is the response variable? Explain.

Using Excel, construct a scatter plot of your data. We will go over this material and the regressions equation in our Chats. It is not that difficult.

Using the graph and intuition, determine whether there is a positive correlation, a negative correlation, or no correlation. How did you come to this conclusion?

Calculate the correlation coefficient, r, and verify your conclusion with your scatter plot. What does the correlation coefficient determine? Discuss the strength of the correlation coefficient calculated, and if the correlation is positive or negative.

Add a regression line to your scatter plot, and obtain the regression equation.

Does the line appear to be a good fit for the data? Why or why not?

Regression equations help you make predictions. Using your regression equation, discuss what the slope means, and determine the predicted value of weight when body fat is zero. Interpret the meaning of this result. We will go over this and the regressions equation in our Chats.

Part IV: Putting it Together

Your analysis is now complete, and you are ready to report your findings to your boss. In one paragraph, summarize your results by explaining your findings from the statistical measures, hypothesis test, and regression analysis of body fat and weight for the 252 men attending Silver’s Gym.

Please submit your assignments, Word Document and Excel Workbook. Please write your last name first for the files’ names.

You'll get a 21.2KB .ZIP file.