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References
Discussion: Multiple Regression
This Discussion assists in solidifying your understanding of statistical testing by engagi ...
References
Discussion: Multiple Regression
This Discussion assists in solidifying your understanding of statistical testing by engaging in some data analysis. This week you will work with a real, secondary dataset to construct a research question, estimate a multiple regression model, and interpret the results.
Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will post your response to the hypothesis test, along with the results. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.
To prepare for this Discussion:
Review this week’s Learning Resources and media program related to multiple regression.
Create a research question using the General Social Survey that can be answered by multiple regression.
Use SPSS to answer the research question. Post your response to the following:
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.
Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
Respond to at least one of your colleagues’ posts and comment on the following:
Do you think the variables are appropriately used? Why or why not?
Does the addition of the control variables make sense to you? Why or why not?
Does the analysis answer the research question? Be sure and provide constructive and helpful comments for possible improvement.
If there was a significant effect, comments on the strength and its meaningfulness.
As a lay reader, were you able to understand the results and their implications? Why or why not?
Required Readings
Laureate Education (Producer). (2016g). Multiple regression [Video file]. Baltimore, MD: Author.
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)
Chapter 8 and 9 Practice Problems
Complete the problems below from the textbook. You will need to use the "Buena School District Bus Data" and the "Century ...
Chapter 8 and 9 Practice Problems
Complete the problems below from the textbook. You will need to use the "Buena School District Bus Data" and the "Century National Bank Data" files for this assignment.Chapter 8 – Problem 44Chapter 8 – Problem 48Chapter 9 – Problem 56Chapter 9 – Problem 66Chapter 9 – Problem 71Chapter 9 Case A – Century National BankFor problems requiring computations, please ensure that your Excel file includes the associated cell computations and/or statistics output. This information is needed in order to receive full credit on these problems.Submit output in one Excel file.
MTHH 043 UNHS Precalculus Algebra and Geometry Project Questions
I need the questions in the pdf I provided answered with work shown Please. Let me know if you have any questions.
MTHH 043 UNHS Precalculus Algebra and Geometry Project Questions
I need the questions in the pdf I provided answered with work shown Please. Let me know if you have any questions.
15 pages
Qualitative Methods Solution
a. Using the naïve forecasting method, compute the following: The output for the forecasts for time periods 2-6 is as sho ...
Qualitative Methods Solution
a. Using the naïve forecasting method, compute the following: The output for the forecasts for time periods 2-6 is as shown in figure 1
Rasmussen College Salary Distributions of Jobs in State of Minnesota Descriptive Statistics Report
Deliverable 1 - Descriptive StatisticsCompetencyExamine basic descriptive statistics, and demonstrate results using calcul ...
Rasmussen College Salary Distributions of Jobs in State of Minnesota Descriptive Statistics Report
Deliverable 1 - Descriptive StatisticsCompetencyExamine basic descriptive statistics, and demonstrate results using calculated values and statistical charts.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 title The salary (in dollars) for each jobThe client needs the preliminary findings by the end of the day, and your boss asks you to first compute some basic statistics.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. Your research and analysis should be present within the
answers provided on the worksheet.
MATH 140 Glendale College Exploring Relationships Between Two Variables Report
Math 140 Project: Exploring relationships between two variables In this project, you will search two quantitative variable ...
MATH 140 Glendale College Exploring Relationships Between Two Variables Report
Math 140 Project: Exploring relationships between two variables In this project, you will search two quantitative variables that may have a linear correlation. You will describe and analyze the relationship between the variables the way it is explained in Chapter 4 (4.1-4.2). You will, then, create a written report including all 4 parts below and turn in by the stated due date according to the guidelines provided in this paper. Required components:1. Understand the Problema) Search for two quantitative variables that may have a linear correlation from the internet, in Canvas or any other media. You may also get the data by surveying 15-20 people. Possible websites to look for data:
You may obtain the data in StatCrunch.com: Click explore and click Data.
http://www.city-data.com/ for demographic information about cities
http://www.cde.ca.gov/ta/ac/ap/ for academic performance index.
http://graphics.latimes.com/responsivemap-pollutio... for pollution burdens.
Website where you found the data: b) Use your intuition and/or experience to predict and write down the descriptions of the possible relationship: Form, Direction, Strength, and outlier, etc. c) Develop a question that address a possible linear correlation between two variables. State the question(s):Identify two variables from the data that are relevant to answer the questions: 2. Analyze the paired Dataa) What is the likely explanatory variable in the paired data?b) Draw a scatter plot of the data. Does the graph show a linear relationship between the variables? Comment on the direction and strength appeared on the scatter diagram.c) Compute the linear correlation coefficient between the two variables and interpret the meaning specifically for your data. d) Find the equation of the least-squares regression line.e) Interpret the slope and y-intercept, if appropriate. f) Use the equation of the least-squares regression line to predict the outcome (y-value) for one of the x-values in your data.g) Find the residual for the x-value you chose in part (f). Explain what it means when a residual is positive or negative.3. Draw Conclusions a) What do the results indicate about the relationship between two variables? b) Do you think there is a causal relation between the variables? Explain. c) Relate the comments you made in step 1b before analyzing the data by commenting on both of the following: How your expectation differs (or do not differ) from the actual results? If it is relevant or meaningful in context, think of a way that these results could be used in practice.4. Summarize Write a short summary of the main findings that you discovered. Math 140 Project: Exploring relationships between two variables -Score Sheet (Total 50 points)Name:________________________________________ Date:__________________________________Title of the project: ____________________________________________________________________Website where you found the data:_______________________________________________________Project Grade: __________________________________
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Most Popular Content
References
Discussion: Multiple Regression
This Discussion assists in solidifying your understanding of statistical testing by engagi ...
References
Discussion: Multiple Regression
This Discussion assists in solidifying your understanding of statistical testing by engaging in some data analysis. This week you will work with a real, secondary dataset to construct a research question, estimate a multiple regression model, and interpret the results.
Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will post your response to the hypothesis test, along with the results. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.
To prepare for this Discussion:
Review this week’s Learning Resources and media program related to multiple regression.
Create a research question using the General Social Survey that can be answered by multiple regression.
Use SPSS to answer the research question. Post your response to the following:
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.
Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
Respond to at least one of your colleagues’ posts and comment on the following:
Do you think the variables are appropriately used? Why or why not?
Does the addition of the control variables make sense to you? Why or why not?
Does the analysis answer the research question? Be sure and provide constructive and helpful comments for possible improvement.
If there was a significant effect, comments on the strength and its meaningfulness.
As a lay reader, were you able to understand the results and their implications? Why or why not?
Required Readings
Laureate Education (Producer). (2016g). Multiple regression [Video file]. Baltimore, MD: Author.
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)
Chapter 8 and 9 Practice Problems
Complete the problems below from the textbook. You will need to use the "Buena School District Bus Data" and the "Century ...
Chapter 8 and 9 Practice Problems
Complete the problems below from the textbook. You will need to use the "Buena School District Bus Data" and the "Century National Bank Data" files for this assignment.Chapter 8 – Problem 44Chapter 8 – Problem 48Chapter 9 – Problem 56Chapter 9 – Problem 66Chapter 9 – Problem 71Chapter 9 Case A – Century National BankFor problems requiring computations, please ensure that your Excel file includes the associated cell computations and/or statistics output. This information is needed in order to receive full credit on these problems.Submit output in one Excel file.
MTHH 043 UNHS Precalculus Algebra and Geometry Project Questions
I need the questions in the pdf I provided answered with work shown Please. Let me know if you have any questions.
MTHH 043 UNHS Precalculus Algebra and Geometry Project Questions
I need the questions in the pdf I provided answered with work shown Please. Let me know if you have any questions.
15 pages
Qualitative Methods Solution
a. Using the naïve forecasting method, compute the following: The output for the forecasts for time periods 2-6 is as sho ...
Qualitative Methods Solution
a. Using the naïve forecasting method, compute the following: The output for the forecasts for time periods 2-6 is as shown in figure 1
Rasmussen College Salary Distributions of Jobs in State of Minnesota Descriptive Statistics Report
Deliverable 1 - Descriptive StatisticsCompetencyExamine basic descriptive statistics, and demonstrate results using calcul ...
Rasmussen College Salary Distributions of Jobs in State of Minnesota Descriptive Statistics Report
Deliverable 1 - Descriptive StatisticsCompetencyExamine basic descriptive statistics, and demonstrate results using calculated values and statistical charts.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 title The salary (in dollars) for each jobThe client needs the preliminary findings by the end of the day, and your boss asks you to first compute some basic statistics.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. Your research and analysis should be present within the
answers provided on the worksheet.
MATH 140 Glendale College Exploring Relationships Between Two Variables Report
Math 140 Project: Exploring relationships between two variables In this project, you will search two quantitative variable ...
MATH 140 Glendale College Exploring Relationships Between Two Variables Report
Math 140 Project: Exploring relationships between two variables In this project, you will search two quantitative variables that may have a linear correlation. You will describe and analyze the relationship between the variables the way it is explained in Chapter 4 (4.1-4.2). You will, then, create a written report including all 4 parts below and turn in by the stated due date according to the guidelines provided in this paper. Required components:1. Understand the Problema) Search for two quantitative variables that may have a linear correlation from the internet, in Canvas or any other media. You may also get the data by surveying 15-20 people. Possible websites to look for data:
You may obtain the data in StatCrunch.com: Click explore and click Data.
http://www.city-data.com/ for demographic information about cities
http://www.cde.ca.gov/ta/ac/ap/ for academic performance index.
http://graphics.latimes.com/responsivemap-pollutio... for pollution burdens.
Website where you found the data: b) Use your intuition and/or experience to predict and write down the descriptions of the possible relationship: Form, Direction, Strength, and outlier, etc. c) Develop a question that address a possible linear correlation between two variables. State the question(s):Identify two variables from the data that are relevant to answer the questions: 2. Analyze the paired Dataa) What is the likely explanatory variable in the paired data?b) Draw a scatter plot of the data. Does the graph show a linear relationship between the variables? Comment on the direction and strength appeared on the scatter diagram.c) Compute the linear correlation coefficient between the two variables and interpret the meaning specifically for your data. d) Find the equation of the least-squares regression line.e) Interpret the slope and y-intercept, if appropriate. f) Use the equation of the least-squares regression line to predict the outcome (y-value) for one of the x-values in your data.g) Find the residual for the x-value you chose in part (f). Explain what it means when a residual is positive or negative.3. Draw Conclusions a) What do the results indicate about the relationship between two variables? b) Do you think there is a causal relation between the variables? Explain. c) Relate the comments you made in step 1b before analyzing the data by commenting on both of the following: How your expectation differs (or do not differ) from the actual results? If it is relevant or meaningful in context, think of a way that these results could be used in practice.4. Summarize Write a short summary of the main findings that you discovered. Math 140 Project: Exploring relationships between two variables -Score Sheet (Total 50 points)Name:________________________________________ Date:__________________________________Title of the project: ____________________________________________________________________Website where you found the data:_______________________________________________________Project Grade: __________________________________
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