# Analysis with Correlation and Regression

### Analysis with Correlation and Regression

#### 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. Download the Excel spreadsheet provided below with the data and questions.

#### Instructions

The variables studied in the Excel sheet are:

• Magnitude measured on the Richter scale
• Depth in km

#### 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. Download the Excel spreadsheet provided below with the data and questions.

#### Instructions

The variables studied in the Excel sheet are:

• Magnitude measure on the Richter scale
• Depth in km

APA

300 Words

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