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Correlation, Regression

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Statistics

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Homework

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enchamry_oynpx

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For the following quesons, you can use the SET command to enter the data, the CORR command to calculate correlaon coecients, and the REGR command to do the

regression. Type HELP SET , HELP CORR or HELP REGR for informaon on how to use these commands.

A student wonders if people of similar heights tend to date each other. She measures herself and &ve other women in her hall of residence. She then measures the height of

the next person each woman dates. Here are the data (all heights in inches):

Women 66 64 66 65 70 65

Their Dates 72 68 70 68 71 65

Treat the height of the women from the hall of residence as the predictor and the height of their date as the response.

Q1

The sample standard deviaon of the y values is closest to:

a.

b.

c.

d.

A.

ANSWER – 2.53

Q2

A The sample mean of the y values is

A.

ANSWER – 69

Q3

The sample correlaon of the x and y values is closest to:

a.

b.

c.

d.

A.

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ANSWER – 56.54

Q4

The intercept is

a. 28

b. 20

c. 16

d. 24

A.

ANSWER – 24

Q5

The slope is closest to

0.68

0.70

0.72

0.78

A.

ANSWER – 0.68

Q6

A new women joins the dorm. If she is 67 inches tall, the predicted height of her next date is

a.

b.

c.

d.

A.

Equaon of regression Y = 24 + 0.682 * X

When Value of X=67 then Y = 24 + 0.682 * 67 = 69.694 ~ 69.7

ANSWER – 0.697

Q7

If the heights were measured in cm rather than inches (note 1 inch is 2.54 cm) the slope would increase by a factor of

a. would not change

b. 1/2.54

c. 2.54

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For the following questions, you can use the SET command to enter the data, the CORR command to calculate correlation coefficients, and the REGR command to do the regression. Type HELP SET , HELP CORR or HELP REGR for information on how to use these commands. A student wonders if people of similar heights tend to date each other. She measures herself and five other women in her hall of residence. She then measures the height of the next person each woman dates. Here are the data (all heights in inches): Women 66 64 66 65 70 65 Their Dates 72 68 70 68 71 65 Treat the height of the women from the hall of residence as the predictor and the height of their date as the response. Q1 The sample standard deviation of the y values is closest to: a. 2.09 b. 2.53 c. 6.40 d. 4.40 A. ANSWER - 2.53 Q2 A The sample mean of the y values is A. ANSWER - 69 Q3 The sample correlation of the x and y v ...
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MTH 156 Critical Thinking Mod 3 Probabilities

Option 2: Probabilities of Graduation and PublicationInstructionsIn the following study, three different universities have ...

MTH 156 Critical Thinking Mod 3 Probabilities

Option 2: Probabilities of Graduation and PublicationInstructionsIn the following study, three different universities have been tracking a select group of professors over the course of their employment at that university to determine the number of students who are in a particular professor’s classes, how many of those students have graduated, and if any of them have had their work published. In the attached Excel file, Probabilities, are the totals for each of the professors at the three different universities that participated in the study.The purpose of this study is to find the probabilities of graduation and publication for the students in the different professors’ courses. While a causal relationship may not be found between a professor and student graduation or publication, we need to rank the professors based on the different probabilities found with the data sets as described below.Prepare a report (see below) with your ranking of the professors based on the probabilities and conditional probabilities as well as the analysis of each university. Include the following seven (7) items in table format which is provided in the Probabilities file to support your ranking.Note: Be sure to use five (5) decimal places for your probabilities in the table, as some of them will be quite small. Do not convert to percentages as we are interested in probabilities only here.The overall probability of students graduating at each of the three universities.The overall probability of students having a publication at each of the three universities.The overall probability of students having a publication, given that they graduated at each of the three universities.The probability of a student graduating for each professor.The probability of a student having a publication for each professor.The probability of a student having a publication given that they graduated for each professor.Rank the professors within each university for each of the probabilities in 4–6. Then find the sum of the ranks and determine an overall ranking for each professor.Be sure to critically analyze the above calculations in your body paragraphs, explaining how you found each type of probability and then the results you obtained. Be sure to also explain your criteria for ranking in steps 4–7, and defend why you chose that ranking method—as your way might not be the typical method.Paper RequirementsWrite a report that uses the Written Assignment Requirements under the heading Expectations for CSU-Global Written Assignments found in the CSU-Global Guide to Writing and APA (Links to an external site.)Links to an external site.. Items that should be included, but are not limited Items that should be included, at a minimum, are a title page, an introduction, a body which answers the questions posed in the problem, and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. As with all written assignments, you should have in-text citations and a reference page. Please include any tables of calculations, calculated values, and graphs associated with this problem in the body of your assignment response.Note: You must submit your Excel file with your report. This will aid in grading with partial credit if errors are found in the report.

RSCH 8210K Walden University Data Analysis Research Work Questions

Categorical Data AnalysisTo prepare for this Discussion:Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrer ...

RSCH 8210K Walden University Data Analysis Research Work Questions

Categorical Data AnalysisTo prepare for this Discussion:Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text and the media program found in this week’s Learning Resources related to bivariate categorical tests.Create a research question using the General Social Survey dataset that can be answered using categorical analysis.By Day 3Use SPSS to answer the research question. Post your response to the following:Include the General Social Survey Dataset’s mean of Age to verify the dataset you used.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?If you found significance, what is the strength of the effect?Explain your results for a lay audience and further explain what the answer is 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.By Day 5Respond 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 analysis answer the research question? Be sure and provide constructive and helpful comments for possible improvement.As a lay reader, were you able to understand the results and their implications? Why or why not?

8 pages

Math 227 Project 1 Exploring Relationships Between Two Variables Sp2020 1

a) Search for two quantitative variables that may have a linear correlation from the internet or any As per my understandi ...

Math 227 Project 1 Exploring Relationships Between Two Variables Sp2020 1

a) Search for two quantitative variables that may have a linear correlation from the internet or any As per my understanding the two quantitative ...

Business Statistics Discussion

Topic: Analyzing Your Weather! “Climate is what you expect; Weather is what you get,” is often attributed to Mark Twai ...

Business Statistics Discussion

Topic: Analyzing Your Weather! “Climate is what you expect; Weather is what you get,” is often attributed to Mark Twain, Robert Heinlein, and several others. Here is your chance to analyze the weather patterns in your area with the numerical measurements from this unit. Main Post: Export the Weather Summary for your city for the recent month. 1) Export your daily weather summary for ZIP code 31905 from NOAA’s Climate Data Online Search. Detailed instructions and video found in the Unit 2 LiveBinder. 2) Open the data in Excel and select one of the quantitative weather variables to analyze. 3) Run Data Analysis->Descriptive Statistics on this variable. Copy and paste the Summary Table directly into your post or share it as an attachment. 4) Calculate the 1st and 3rd quartile of your variable. 5) Clearly state your 5-Number Summary (Min, Q1, Median, Q3, Max) in your post See Example and DB starter video in the Unit 2 LiveBinder.

4 pages

Linear Programming

C. Room seven has to be covered by two cameras

Linear Programming

C. Room seven has to be covered by two cameras

Introduction to Quantitative Analysis Descriptive Analysis

Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between ...

Introduction to Quantitative Analysis Descriptive Analysis

Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between the proper use of summary statistics for categorical and continuous level data. In this exercise, you will explore what output is provided for each of these variables and provide some meaning from these statistics for your reader. The ability to place the statistics into a context that your reader understands and can make sense of is a highly desirable skill.For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables you used from your Week 2 Assignment and perform the appropriate descriptive analysis of the data given.To prepare for this Assignment:Review this week’s Learning Resources and the Central Tendency and Variability media program.For additional support, review the Skill Builder: Measures of Central Tendency for Continuous Variables, Skill Builder: Standard Deviation as a Measure of Variability for Continuous Variables and the Skill Builder: Measures of Central Tendency and Variability for Categorical Variables, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset from your Assignment in Week 2.Choose the same two variables you chose from your Week 2 Assignment and perform the appropriate descriptive analysis of the data.Once you perform your descriptive analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.Write a 2- to 3-paragraph analysis of your descriptive analysis results and include a copy and paste your output from your analysis into your final document.Based on the results of your data, provide a brief explanation of what the implications for social change might be.Use appropriate APA format, citations and referencing. Refer to the APA manual for appropriate citation.

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MTH 156 Critical Thinking Mod 3 Probabilities

Option 2: Probabilities of Graduation and PublicationInstructionsIn the following study, three different universities have ...

MTH 156 Critical Thinking Mod 3 Probabilities

Option 2: Probabilities of Graduation and PublicationInstructionsIn the following study, three different universities have been tracking a select group of professors over the course of their employment at that university to determine the number of students who are in a particular professor’s classes, how many of those students have graduated, and if any of them have had their work published. In the attached Excel file, Probabilities, are the totals for each of the professors at the three different universities that participated in the study.The purpose of this study is to find the probabilities of graduation and publication for the students in the different professors’ courses. While a causal relationship may not be found between a professor and student graduation or publication, we need to rank the professors based on the different probabilities found with the data sets as described below.Prepare a report (see below) with your ranking of the professors based on the probabilities and conditional probabilities as well as the analysis of each university. Include the following seven (7) items in table format which is provided in the Probabilities file to support your ranking.Note: Be sure to use five (5) decimal places for your probabilities in the table, as some of them will be quite small. Do not convert to percentages as we are interested in probabilities only here.The overall probability of students graduating at each of the three universities.The overall probability of students having a publication at each of the three universities.The overall probability of students having a publication, given that they graduated at each of the three universities.The probability of a student graduating for each professor.The probability of a student having a publication for each professor.The probability of a student having a publication given that they graduated for each professor.Rank the professors within each university for each of the probabilities in 4–6. Then find the sum of the ranks and determine an overall ranking for each professor.Be sure to critically analyze the above calculations in your body paragraphs, explaining how you found each type of probability and then the results you obtained. Be sure to also explain your criteria for ranking in steps 4–7, and defend why you chose that ranking method—as your way might not be the typical method.Paper RequirementsWrite a report that uses the Written Assignment Requirements under the heading Expectations for CSU-Global Written Assignments found in the CSU-Global Guide to Writing and APA (Links to an external site.)Links to an external site.. Items that should be included, but are not limited Items that should be included, at a minimum, are a title page, an introduction, a body which answers the questions posed in the problem, and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. As with all written assignments, you should have in-text citations and a reference page. Please include any tables of calculations, calculated values, and graphs associated with this problem in the body of your assignment response.Note: You must submit your Excel file with your report. This will aid in grading with partial credit if errors are found in the report.

RSCH 8210K Walden University Data Analysis Research Work Questions

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Math 227 Project 1 Exploring Relationships Between Two Variables Sp2020 1

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Math 227 Project 1 Exploring Relationships Between Two Variables Sp2020 1

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Business Statistics Discussion

Topic: Analyzing Your Weather! “Climate is what you expect; Weather is what you get,” is often attributed to Mark Twai ...

Business Statistics Discussion

Topic: Analyzing Your Weather! “Climate is what you expect; Weather is what you get,” is often attributed to Mark Twain, Robert Heinlein, and several others. Here is your chance to analyze the weather patterns in your area with the numerical measurements from this unit. Main Post: Export the Weather Summary for your city for the recent month. 1) Export your daily weather summary for ZIP code 31905 from NOAA’s Climate Data Online Search. Detailed instructions and video found in the Unit 2 LiveBinder. 2) Open the data in Excel and select one of the quantitative weather variables to analyze. 3) Run Data Analysis->Descriptive Statistics on this variable. Copy and paste the Summary Table directly into your post or share it as an attachment. 4) Calculate the 1st and 3rd quartile of your variable. 5) Clearly state your 5-Number Summary (Min, Q1, Median, Q3, Max) in your post See Example and DB starter video in the Unit 2 LiveBinder.

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Linear Programming

C. Room seven has to be covered by two cameras

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Introduction to Quantitative Analysis Descriptive Analysis

Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between ...

Introduction to Quantitative Analysis Descriptive Analysis

Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between the proper use of summary statistics for categorical and continuous level data. In this exercise, you will explore what output is provided for each of these variables and provide some meaning from these statistics for your reader. The ability to place the statistics into a context that your reader understands and can make sense of is a highly desirable skill.For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables you used from your Week 2 Assignment and perform the appropriate descriptive analysis of the data given.To prepare for this Assignment:Review this week’s Learning Resources and the Central Tendency and Variability media program.For additional support, review the Skill Builder: Measures of Central Tendency for Continuous Variables, Skill Builder: Standard Deviation as a Measure of Variability for Continuous Variables and the Skill Builder: Measures of Central Tendency and Variability for Categorical Variables, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset from your Assignment in Week 2.Choose the same two variables you chose from your Week 2 Assignment and perform the appropriate descriptive analysis of the data.Once you perform your descriptive analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.Write a 2- to 3-paragraph analysis of your descriptive analysis results and include a copy and paste your output from your analysis into your final document.Based on the results of your data, provide a brief explanation of what the implications for social change might be.Use appropriate APA format, citations and referencing. Refer to the APA manual for appropriate citation.