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Remington Statistics Correlation and Regression Analysis PPT & Worksheet

Scenario According to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the ...

Remington Statistics Correlation and Regression Analysis PPT & Worksheet

Scenario According to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF). As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work. Concepts Being Studied Correlation and regression Creating scatterplots Constructing and interpreting a Hypothesis Test for Correlation using r as the test statistic You are given a spreadsheet that contains the following information: Magnitude measured on the Richter scale Depth in km Using the spreadsheet, you will answer the problems below in a PowerPoint presentation. What to Submit The PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above. Slide 1: Title slide Slide 2: Introduce your scenario and data set including the variables provided. Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot. Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values. Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain. Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation. Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units. Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario. Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.

6 pages

Week Hsa 543 Home Work 3 3

Using the follow narrative, create a general system flow chart. When a patient arrives at the clinic the patient first see ...

Week Hsa 543 Home Work 3 3

Using the follow narrative, create a general system flow chart. When a patient arrives at the clinic the patient first sees the receptionist, who ...

STAT 512 Purdue University Applied Regression Analysis

More detail pleas see the file ,total have 8 questions; Now consider a multiple linear regression where the average length ...

STAT 512 Purdue University Applied Regression Analysis

More detail pleas see the file ,total have 8 questions; Now consider a multiple linear regression where the average length of stay in a hospital (Y) is anticipated to be related to infection risk (X1), routine chest X-ray ratio (X2), and available facilities and services (X3).1. (10) Use R to obtain the residual information on the MLR model Y~X1+X2+X3, check assumptions from the residual plot, BF test (you could do a grouping on Y) and Normality test.2.(5) For the MLR model Y~X1+X2+X3, use R to construct the design matrix X and Y, then compute the variance-covariance matrix of the residuals , what is the dimension of the matrix?3. (5) For the MLR model Y~X1+X2+X3, use R to construct the matrix X and Y, then compute the variance-covariance matrix of the parameter estimates , what is the dimension of the matrix? What are the standard error of the parameter estimates?4. (8) Obtain an interval estimate of the mean response when X1=4, X2=81, and X3=43 with 90% confidence level.Specify what are the point estimate, critical value, and the standard error.5. (4) Now consider the interval estimate of the single responsewhen X1=4, X2=81, and X3=43 with 90% confidence level. Without computation, discuss how the point estimate, critical value, and the standard error different are different from question 4.

BUS 308 Ashford University Wk 1 Descriptive Statistics Discussion

Step 1: Read:Review Case Problem 3: Business Schools of Asia-Pacific Download Case Problem 3: Business Schools of Asia-Pa ...

BUS 308 Ashford University Wk 1 Descriptive Statistics Discussion

Step 1: Read:Review Case Problem 3: Business Schools of Asia-Pacific Download Case Problem 3: Business Schools of Asia-Pacificfrom Chapter 3 in the ebook.Step 2: Do:Run descriptive statistics for the Data File AsiaMBA (Chapter 3) using the video How to Add Excel's Data Analysis ToolPak. (Links to an external site.)In a managerial report, use the methods of descriptive statistics toSummarize the data in Data File AsiaMBA.Summarize each variable in the data set.Step 3: Discuss:What new insights do these descriptive statistics provide concerning Asia-Pacific business schools? You should also analyze differences between local and foreign tuition costs, between mean starting salaries for schools requiring and not requiring work experience, and between starting salaries for schools requiring and not requiring English tests. 300 words

MTH 218 Kingsborough Community Wk 4 Sales by Shift ANOVA Results Presentation

You are in charge of conducting an analysis for your organization to determine if there is a difference in product sales b ...

MTH 218 Kingsborough Community Wk 4 Sales by Shift ANOVA Results Presentation

You are in charge of conducting an analysis for your organization to determine if there is a difference in product sales between the day shift, the night shift, and the weekend shift. Your coworker has already collected the data and it is ready for you to analyze.Review the attached data First, plan your analysis. Second, conduct your analysis. Third, describe your analysis.Create a 6- to 7-slide Microsoft PowerPoint presentation and include speaker notes. Include the following elements in your presentation.Part 1: PlanningWhat are the null and alternative hypotheses?Where did you obtain your data or who obtained it for you?Part 2: AnalysisWhat are the descriptive statistics for your sample? Include:Sample sizeMeanMedianModeStandard deviationAnalysis Procedures: What did you do to conduct your analysis?Part 3: Results and DiscussionWhat are the test statistics and results? Includef statisticp-valueWhat are the results? Are the results inferable to the population?Do you reject or fail to reject the null hypothesis? Explain.What do the results mean? What is your recommendation to the organization?

Find the coordinates of O on the number line below such that O partitions stack M N with bar on top such that MO:ON is in a 3:4 ratio.

Find the coordinates of O on the number line below such that O partitions such that MO:ON is in a 3:4 ratio.A. 8B. 5.25C ...

Find the coordinates of O on the number line below such that O partitions stack M N with bar on top such that MO:ON is in a 3:4 ratio.

Find the coordinates of O on the number line below such that O partitions such that MO:ON is in a 3:4 ratio.A. 8B. 5.25C. 3D. 2

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Most Popular Content

Remington Statistics Correlation and Regression Analysis PPT & Worksheet

Scenario According to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the ...

Remington Statistics Correlation and Regression Analysis PPT & Worksheet

Scenario According to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF). As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work. Concepts Being Studied Correlation and regression Creating scatterplots Constructing and interpreting a Hypothesis Test for Correlation using r as the test statistic You are given a spreadsheet that contains the following information: Magnitude measured on the Richter scale Depth in km Using the spreadsheet, you will answer the problems below in a PowerPoint presentation. What to Submit The PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above. Slide 1: Title slide Slide 2: Introduce your scenario and data set including the variables provided. Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot. Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values. Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain. Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation. Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units. Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario. Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.

6 pages

Week Hsa 543 Home Work 3 3

Using the follow narrative, create a general system flow chart. When a patient arrives at the clinic the patient first see ...

Week Hsa 543 Home Work 3 3

Using the follow narrative, create a general system flow chart. When a patient arrives at the clinic the patient first sees the receptionist, who ...

STAT 512 Purdue University Applied Regression Analysis

More detail pleas see the file ,total have 8 questions; Now consider a multiple linear regression where the average length ...

STAT 512 Purdue University Applied Regression Analysis

More detail pleas see the file ,total have 8 questions; Now consider a multiple linear regression where the average length of stay in a hospital (Y) is anticipated to be related to infection risk (X1), routine chest X-ray ratio (X2), and available facilities and services (X3).1. (10) Use R to obtain the residual information on the MLR model Y~X1+X2+X3, check assumptions from the residual plot, BF test (you could do a grouping on Y) and Normality test.2.(5) For the MLR model Y~X1+X2+X3, use R to construct the design matrix X and Y, then compute the variance-covariance matrix of the residuals , what is the dimension of the matrix?3. (5) For the MLR model Y~X1+X2+X3, use R to construct the matrix X and Y, then compute the variance-covariance matrix of the parameter estimates , what is the dimension of the matrix? What are the standard error of the parameter estimates?4. (8) Obtain an interval estimate of the mean response when X1=4, X2=81, and X3=43 with 90% confidence level.Specify what are the point estimate, critical value, and the standard error.5. (4) Now consider the interval estimate of the single responsewhen X1=4, X2=81, and X3=43 with 90% confidence level. Without computation, discuss how the point estimate, critical value, and the standard error different are different from question 4.

BUS 308 Ashford University Wk 1 Descriptive Statistics Discussion

Step 1: Read:Review Case Problem 3: Business Schools of Asia-Pacific Download Case Problem 3: Business Schools of Asia-Pa ...

BUS 308 Ashford University Wk 1 Descriptive Statistics Discussion

Step 1: Read:Review Case Problem 3: Business Schools of Asia-Pacific Download Case Problem 3: Business Schools of Asia-Pacificfrom Chapter 3 in the ebook.Step 2: Do:Run descriptive statistics for the Data File AsiaMBA (Chapter 3) using the video How to Add Excel's Data Analysis ToolPak. (Links to an external site.)In a managerial report, use the methods of descriptive statistics toSummarize the data in Data File AsiaMBA.Summarize each variable in the data set.Step 3: Discuss:What new insights do these descriptive statistics provide concerning Asia-Pacific business schools? You should also analyze differences between local and foreign tuition costs, between mean starting salaries for schools requiring and not requiring work experience, and between starting salaries for schools requiring and not requiring English tests. 300 words

MTH 218 Kingsborough Community Wk 4 Sales by Shift ANOVA Results Presentation

You are in charge of conducting an analysis for your organization to determine if there is a difference in product sales b ...

MTH 218 Kingsborough Community Wk 4 Sales by Shift ANOVA Results Presentation

You are in charge of conducting an analysis for your organization to determine if there is a difference in product sales between the day shift, the night shift, and the weekend shift. Your coworker has already collected the data and it is ready for you to analyze.Review the attached data First, plan your analysis. Second, conduct your analysis. Third, describe your analysis.Create a 6- to 7-slide Microsoft PowerPoint presentation and include speaker notes. Include the following elements in your presentation.Part 1: PlanningWhat are the null and alternative hypotheses?Where did you obtain your data or who obtained it for you?Part 2: AnalysisWhat are the descriptive statistics for your sample? Include:Sample sizeMeanMedianModeStandard deviationAnalysis Procedures: What did you do to conduct your analysis?Part 3: Results and DiscussionWhat are the test statistics and results? Includef statisticp-valueWhat are the results? Are the results inferable to the population?Do you reject or fail to reject the null hypothesis? Explain.What do the results mean? What is your recommendation to the organization?

Find the coordinates of O on the number line below such that O partitions such that MO:ON is in a 3:4 ratio.A. 8B. 5.25C ...

Find the coordinates of O on the number line below such that O partitions such that MO:ON is in a 3:4 ratio.A. 8B. 5.25C. 3D. 2

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