Deliverable 6 - Analysis with **Correlation** and **Regression** item options

**Assignment** Content

**Competency**

Determine the **linear correlation** and regression equation between two variables to make predictions for the dependent variable.

**Student Success Criteria**

View 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.

**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

Deliverable 6 - **Analysis with Correlation and Regression**.xlsx

Using the spreadsheet, you will answer the problems below in a PowerPoint presentation.

What to Submit

The **PowerPoint Assignment 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.

This assignment falls under the inferential section of your online statistics class. My Course Tutor experts are competent at handling such assignments. The firs step in handling a statistics assignment is to understand the nature of the data, and to review the possible category of **data analysis methods** within which **hypothesis testing** falls. The excel file for this assignment has been attached.

Deliverable 6 - Analysis with Correlation and Regression.xlsx