Analysis with Correlation and Regression Nursing Essay

Analysis with Correlation and Regression Nursing Essay

Competency Determine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions. 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.

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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.

Analysis with Correlation and Regression Nursing Essay