Description
A square ( side length 10 m) with an isosceles triangle attached on one side. The vertex of the triangle that is not a part of the square is 13 meters away from each of the nearest vertices of the square. That same vertex is also 12 meters away perpendicular from the nearest side of the square.
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Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine the linear correlation and regression equation between two variables to make predictions for the depen ...
Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine the linear correlation and regression equation between two variables to make predictions for the dependent variable.Student Success CriteriaView the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.ScenarioAccording 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 StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmWhat to SubmitThe 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.
2. Do the statistics suggest to you that returns for those risk factors come from the same distribution over the entire period? 3. Make a plot showing the growth of $1 in each of the three “risk factors (portfolios)” over the full sample. (Recall, this
Requirements are all in the following file--Experiential Learning.
2. Do the statistics suggest to you that returns for those risk factors come from the same distribution over the entire period? 3. Make a plot showing the growth of $1 in each of the three “risk factors (portfolios)” over the full sample. (Recall, this
Requirements are all in the following file--Experiential Learning.
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For this activity, utilize the five-step process and the following data set. The two populations are: Population A: oMe ...
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Please answer directly on the worksheet. also please review the scoring guide on the first tab of the spreadsheet prior to beginning the assignment to become familiar with the expectations for successful completion.Attachments
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Most Popular Content
Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine the linear correlation and regression equation between two variables to make predictions for the depen ...
Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine the linear correlation and regression equation between two variables to make predictions for the dependent variable.Student Success CriteriaView the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.ScenarioAccording 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 StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmWhat to SubmitThe 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.
2. Do the statistics suggest to you that returns for those risk factors come from the same distribution over the entire period? 3. Make a plot showing the growth of $1 in each of the three “risk factors (portfolios)” over the full sample. (Recall, this
Requirements are all in the following file--Experiential Learning.
2. Do the statistics suggest to you that returns for those risk factors come from the same distribution over the entire period? 3. Make a plot showing the growth of $1 in each of the three “risk factors (portfolios)” over the full sample. (Recall, this
Requirements are all in the following file--Experiential Learning.
RSCH 665 Z TEST Assignment NEEDED Monday 12/10/18 or BEFORE
For this activity, utilize the five-step process and the following data set. The two populations are: Population A: oMe ...
RSCH 665 Z TEST Assignment NEEDED Monday 12/10/18 or BEFORE
For this activity, utilize the five-step process and the following data set. The two populations are: Population A: oMean=36, SD=4 Population B: o(sample of one): Raw Score=44 Set up a one-tail Z test evaluating the improvement of a score, presenting the following: Restate the research question as a research hypothesis and a null hypothesis about the populations.Determine the characteristics of the comparison distribution.Determine the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected.Determine your sample’s score on the comparison distribution. 5.Decide whether to reject the null hypothesis.
MAT 144 Grand Canyon University
Please answer directly on the worksheet. also please review the scoring guide on the first tab of the spreadsheet prior to ...
MAT 144 Grand Canyon University
Please answer directly on the worksheet. also please review the scoring guide on the first tab of the spreadsheet prior to beginning the assignment to become familiar with the expectations for successful completion.Attachments
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