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Quantitative Method for Health Services
Open the attachment for the instructions on this assignment. The subject is Quantitative Method for Health Services.
Quantitative Method for Health Services
Open the attachment for the instructions on this assignment. The subject is Quantitative Method for Health Services.
MATH 107 UMD Curve Fitting Project Linear Model Exam Practice
Instructions (I will send a example template once identified)For this assignment, collect data exhibiting a relatively lin ...
MATH 107 UMD Curve Fitting Project Linear Model Exam Practice
Instructions (I will send a example template once identified)For this assignment, collect data exhibiting a relatively linear trend, find the line of best fit, plot the data and the line, interpret the slope, and use the linear equation to make a prediction. Also, find r2 (coefficient of determination) and r (correlation coefficient). Discuss your findings. Your topic may be that is related to sports, your work, a hobby, or something you find interesting. If you choose, you may use the suggestions described below. A Linear Model Example and Technology Tips are provided in separate documents.Tasks for Linear Regression Model (LR)(LR-1) Describe your topic, provide your data, and cite your source. Collect at least 8 data points. Label appropriately. (Highly recommended: Post this information in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your posting. Each student must use different data.) The idea with the discussion posting is two-fold: (1) To share your interesting project idea with your classmates, and (2) To give me a chance to give you a brief thumbs-up or thumbs-down about your proposed topic and data. Sometimes students get off on the wrong foot or misunderstand the intent of the project, and your posting provides an opportunity for some feedback. Remark: Students may choose similar topics, but must have different data sets. For example, several students may be interested in a particular Olympic sport, and that is fine, but they must collect different data, perhaps from different events or different gender.(LR-2) Plot the points (x, y) to obtain a scatterplot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully. Visually judge whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different topic or data set.)(LR-3) Find the line of best fit (regression line) and graph it on the scatterplot. State the equation of the line.(LR-4) State the slope of the line of best fit. Carefully interpret the meaning of the slope in a sentence or two.(LR-5) Find and state the value of r2, the coefficient of determination, and r, the correlation coefficient. Discuss your findings in a few sentences. Is r positive or negative? Why? Is a line a good curve to fit to this data? Why or why not? Is the linear relationship very strong, moderately strong, weak, or nonexistent?(LR-6) Choose a value of interest and use the line of best fit to make an estimate or prediction. Show calculation work.(LR-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project (topic, data, scatterplot, line, r, or estimate, etc.) that you found particularly important or interesting. You may submit all of your project in one document or a combination of documents, which may consist of word processing documents or spreadsheets or scanned handwritten work, provided it is clearly labeled where each task can be found. Be sure to include your name. Projects are graded on the basis of completeness, correctness, ease in locating all of the checklist items, and strength of the narrative portions.Here are some possible topics: Choose an Olympic sport -- an event that interests you. Go to https://www.olympic.org/olympic-results and collect data for winners in the event for at least 8 Olympic games (dating back to at least 1980). (Example: Winning times in Men's 400 m dash). Make a quick plot for yourself to "eyeball" whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different event.) After you find the line of best fit, use your line to make a prediction for the next Olympics (2014 for a winter event, 2016 for a summer event ).Choose a particular type of food. (Examples: Fish sandwich at fast-food chains, cheese pizza, breakfast cereal) For at least 8 brands, look up the fat content and the associated calorie total per serving. Make a quick plot for yourself to "eyeball" whether the data exhibit a relatively linear trend. (If so, proceed. If not, try a different type of food.) After you find the line of best fit, use your line to make a prediction corresponding to a fat amount not occurring in your data set.) Alternative: Look up carbohydrate content and associated calorie total per serving.Choose a sport that particularly interests you and find two variables that may exhibit a linear relationship. For instance, for each team for a particular season in baseball, find the total runs scored and the number of wins. Excellent websites: http://www.databasesports.com/ and http://www.baseball-reference.com/
Testing for Multiple Regression
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choos ...
Testing for Multiple Regression
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.
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, review Chapter 11 of the Wagner text to understand how to 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.
Part 2
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources.
Consider the following:
Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well.
Write a 2- to 3-page analysis of your multiple regression using dummy variables 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.
4 pages
Question 1 Medical Advertising And Biostatistics 1
How 4 of the Essential Services of Public Health Relate to Medication One of the main services of public health; inform, e ...
Question 1 Medical Advertising And Biostatistics 1
How 4 of the Essential Services of Public Health Relate to Medication One of the main services of public health; inform, educate, and empower people
INFERENTIAL STATISTICS ARTICLE CRITIQUE
Inferential Statistics Article CritiqueRead the article “Differential effects of a body image exposure session on smokin ...
INFERENTIAL STATISTICS ARTICLE CRITIQUE
Inferential Statistics Article CritiqueRead the article “Differential effects of a body image exposure session on smoking urge between physically active and sedentary female smokers,”and identify the research questions and/or hypotheses as they are stated. Consider the following questions: What are the variables (sample sizes, population, treatments, etc.)? What are the inferential statistics used in this article? Were the proper steps of hypothesis testing followed?Write a two- to three-page paper presenting the information listed below. Include a title page and reference page in APA style. Cite any references made to the article within the body of the paper in APA style. Your paper should begin with an introductory paragraph (including a thesis statement) and end with a concluding paragraph summarizing the major points made in the body of the paper and reaffirming the thesis. When writing the article critique, your paper must:Determine what question(s) the authors are trying to answer by doing this researchDetermine the hypothesis being tested and the concepts that were applied in this process.Evaluate the article and critique the statistical analysis employed in the study.Would you have included more and/or different variables? Explain your answer.Examine the assumptions and limitations of the statistical study.What would you have done differently in this case? Why?Identify how the authors applied statistical testing to the problem.Interpret the findings of the author(s) using statistical concepts.You may access the Critical Thinking Community (Links to an external site.)Links to an external site. website for tips on how to formulate your thoughts and discussion of these questions in a logical and meaningful manner. http://www.criticalthinking.orghttps://fod.infobase.com/OnDemandEmbed.aspx?Token=36201&aid=18596&Plt=FOD&loid=0&w=640&h=480&ref http://www.youtube.com/watch?v=0zZYBALbZgg
3 pages
Real Life Applications Of Regression Analysis
Regression analysis is a statistical concept of estimating or predicting the relationship between different elements, usua ...
Real Life Applications Of Regression Analysis
Regression analysis is a statistical concept of estimating or predicting the relationship between different elements, usually referred to as ...
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Most Popular Content
Quantitative Method for Health Services
Open the attachment for the instructions on this assignment. The subject is Quantitative Method for Health Services.
Quantitative Method for Health Services
Open the attachment for the instructions on this assignment. The subject is Quantitative Method for Health Services.
MATH 107 UMD Curve Fitting Project Linear Model Exam Practice
Instructions (I will send a example template once identified)For this assignment, collect data exhibiting a relatively lin ...
MATH 107 UMD Curve Fitting Project Linear Model Exam Practice
Instructions (I will send a example template once identified)For this assignment, collect data exhibiting a relatively linear trend, find the line of best fit, plot the data and the line, interpret the slope, and use the linear equation to make a prediction. Also, find r2 (coefficient of determination) and r (correlation coefficient). Discuss your findings. Your topic may be that is related to sports, your work, a hobby, or something you find interesting. If you choose, you may use the suggestions described below. A Linear Model Example and Technology Tips are provided in separate documents.Tasks for Linear Regression Model (LR)(LR-1) Describe your topic, provide your data, and cite your source. Collect at least 8 data points. Label appropriately. (Highly recommended: Post this information in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your posting. Each student must use different data.) The idea with the discussion posting is two-fold: (1) To share your interesting project idea with your classmates, and (2) To give me a chance to give you a brief thumbs-up or thumbs-down about your proposed topic and data. Sometimes students get off on the wrong foot or misunderstand the intent of the project, and your posting provides an opportunity for some feedback. Remark: Students may choose similar topics, but must have different data sets. For example, several students may be interested in a particular Olympic sport, and that is fine, but they must collect different data, perhaps from different events or different gender.(LR-2) Plot the points (x, y) to obtain a scatterplot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully. Visually judge whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different topic or data set.)(LR-3) Find the line of best fit (regression line) and graph it on the scatterplot. State the equation of the line.(LR-4) State the slope of the line of best fit. Carefully interpret the meaning of the slope in a sentence or two.(LR-5) Find and state the value of r2, the coefficient of determination, and r, the correlation coefficient. Discuss your findings in a few sentences. Is r positive or negative? Why? Is a line a good curve to fit to this data? Why or why not? Is the linear relationship very strong, moderately strong, weak, or nonexistent?(LR-6) Choose a value of interest and use the line of best fit to make an estimate or prediction. Show calculation work.(LR-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project (topic, data, scatterplot, line, r, or estimate, etc.) that you found particularly important or interesting. You may submit all of your project in one document or a combination of documents, which may consist of word processing documents or spreadsheets or scanned handwritten work, provided it is clearly labeled where each task can be found. Be sure to include your name. Projects are graded on the basis of completeness, correctness, ease in locating all of the checklist items, and strength of the narrative portions.Here are some possible topics: Choose an Olympic sport -- an event that interests you. Go to https://www.olympic.org/olympic-results and collect data for winners in the event for at least 8 Olympic games (dating back to at least 1980). (Example: Winning times in Men's 400 m dash). Make a quick plot for yourself to "eyeball" whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different event.) After you find the line of best fit, use your line to make a prediction for the next Olympics (2014 for a winter event, 2016 for a summer event ).Choose a particular type of food. (Examples: Fish sandwich at fast-food chains, cheese pizza, breakfast cereal) For at least 8 brands, look up the fat content and the associated calorie total per serving. Make a quick plot for yourself to "eyeball" whether the data exhibit a relatively linear trend. (If so, proceed. If not, try a different type of food.) After you find the line of best fit, use your line to make a prediction corresponding to a fat amount not occurring in your data set.) Alternative: Look up carbohydrate content and associated calorie total per serving.Choose a sport that particularly interests you and find two variables that may exhibit a linear relationship. For instance, for each team for a particular season in baseball, find the total runs scored and the number of wins. Excellent websites: http://www.databasesports.com/ and http://www.baseball-reference.com/
Testing for Multiple Regression
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choos ...
Testing for Multiple Regression
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.
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, review Chapter 11 of the Wagner text to understand how to 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.
Part 2
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources.
Consider the following:
Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well.
Write a 2- to 3-page analysis of your multiple regression using dummy variables 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.
4 pages
Question 1 Medical Advertising And Biostatistics 1
How 4 of the Essential Services of Public Health Relate to Medication One of the main services of public health; inform, e ...
Question 1 Medical Advertising And Biostatistics 1
How 4 of the Essential Services of Public Health Relate to Medication One of the main services of public health; inform, educate, and empower people
INFERENTIAL STATISTICS ARTICLE CRITIQUE
Inferential Statistics Article CritiqueRead the article “Differential effects of a body image exposure session on smokin ...
INFERENTIAL STATISTICS ARTICLE CRITIQUE
Inferential Statistics Article CritiqueRead the article “Differential effects of a body image exposure session on smoking urge between physically active and sedentary female smokers,”and identify the research questions and/or hypotheses as they are stated. Consider the following questions: What are the variables (sample sizes, population, treatments, etc.)? What are the inferential statistics used in this article? Were the proper steps of hypothesis testing followed?Write a two- to three-page paper presenting the information listed below. Include a title page and reference page in APA style. Cite any references made to the article within the body of the paper in APA style. Your paper should begin with an introductory paragraph (including a thesis statement) and end with a concluding paragraph summarizing the major points made in the body of the paper and reaffirming the thesis. When writing the article critique, your paper must:Determine what question(s) the authors are trying to answer by doing this researchDetermine the hypothesis being tested and the concepts that were applied in this process.Evaluate the article and critique the statistical analysis employed in the study.Would you have included more and/or different variables? Explain your answer.Examine the assumptions and limitations of the statistical study.What would you have done differently in this case? Why?Identify how the authors applied statistical testing to the problem.Interpret the findings of the author(s) using statistical concepts.You may access the Critical Thinking Community (Links to an external site.)Links to an external site. website for tips on how to formulate your thoughts and discussion of these questions in a logical and meaningful manner. http://www.criticalthinking.orghttps://fod.infobase.com/OnDemandEmbed.aspx?Token=36201&aid=18596&Plt=FOD&loid=0&w=640&h=480&ref http://www.youtube.com/watch?v=0zZYBALbZgg
3 pages
Real Life Applications Of Regression Analysis
Regression analysis is a statistical concept of estimating or predicting the relationship between different elements, usua ...
Real Life Applications Of Regression Analysis
Regression analysis is a statistical concept of estimating or predicting the relationship between different elements, usually referred to as ...
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