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Deliverable 6 - Analysis with Correlation and Regression item options
Assignment Content

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.

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

STA3215CBE Section 01CBE Inferential Statistics and Analytics (11 Weeks) - CBE Online Course - 2022 Summer Quarter
Deliverable 1 assignment

Deliverable 1 - Descriptive Statistics

Assignment Content


Describe the data using the measures of central tendency and measures of variability.

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 (information repeated for deliverable 01, 03, and 04)

A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:

A listing of the jobs by title
The salary (in dollars) for each job

To complete Deliverable 1 assignment - Descriptive Statistics.xlsx file for specific questions that need to be answered in this deliverable.

The client needs the preliminary findings by the end of the day. Your boss asks you to first compute some basic statistics and then analyze the results in the four questions given in the Excel spreadsheet.

Background information on the Data

The data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.

What to Submit

Your boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.
The following questions are include in the attached excel file.

. Provide a brief overview of the scenario you are given and describe the data set.
1b. Describe how you will be analyzing the data set.
1c. List all variables in the data set. Define each variable as follows and explain your reasoning.
i. Provide the two variable names in the data set.

ii. Define both variable as either Quantitative or Qualitative. Explain your answers.

iii. For the quantiative variable listed, define them as either Discrete or Continuous. Explain your answer.
iv. Provide the level of measurement for both variables. Explain your answers.

  1. Name and describe each Measure of Center below. Include the advantages and disadvantages of each Measure of Center.
    4a. Calculate the Measures of Center and Measures of Variation on the "Data" tab in this document.
    Under each measurement, provide the following: the calculation (including the Excel formula), the value, the units of measurement, and an interpretation of the calculation in context of the scenario.

i. Mean

ii. Median

iii. Mode

iv. Midrange

v. Range

vi. Variance

vii. Standard Deviation
If you find any difficulty completing analyses for this project, you can contact My Course Tutor for help. We provide statistics and data analysis services under our statistics assignment help category. You might also wish to engage our experts on free consultations on how to go about analyzing your project data using excel.

Deliverable 1 - Descriptive Statistics.xlsx

All students and professionals ought to understand statistical concepts because it help them work on their research projects and conduct different research activities within environments they live. Statistics, research, and probability skills might seem difficult to master at fast, but they are interesting when one has mastered the art. My course tutor provides students with assistance who might find it challenging to understand statistical concepts.
A simple presentation of statistics is explained here:
Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. Statistics has a wide range of uses and applications in many different fields, such as business, economics, psychology, medicine, and the natural and social sciences. Some examples of the uses of statistics are:

  1. Data Analysis: Statistics enables researchers and analysts to collect and analyze data, and to make inferences and predictions based on the data.
  2. Quality Control: Statistics is used to monitor and control the quality of products and services, by using statistical techniques such as statistical process control and design of experiments.
  3. Surveys and Sampling: Statistics is used to design and analyze surveys and samples, to estimate the characteristics of a population based on a sample.
  4. Forecasting and Predictions: Statistics is used to make predictions and forecasts in areas such as weather forecasting, stock market analysis, and economic forecasting.
  5. Decision Making: Statistics is used to support decision making in a wide range of applications, such as medical research, product design, and public policy.
  6. Research: Statistics is used in many scientific fields to design experiments, collect data, and analyze and interpret the results.
    Statistics is important because it allows us to make inferences about a population based on a sample, and to make predictions about future events based on past data. It also allows us to test hypotheses and make decisions based on data, and to evaluate the reliability and validity of the conclusions we draw from data. Without statistics, it would be difficult to make sense of the vast amount of data that is generated in today's world and make informed decisions.

Descriptive statistics is a branch of statistics that deals with summarizing, describing, and presenting data. The goal of descriptive statistics is to provide a concise summary of a large amount of data in a way that is easy to understand and interpret. This can be done by using various tools such as measures of central tendency (mean, median, mode) and measures of dispersion (range, variance, standard deviation) to summarize the data, and by using visualizations such as histograms, box plots, and scatter plots to present the data in a clear and visually appealing way.

Descriptive statistics can be used to answer questions such as: what is the average value of a certain variable? What is the most common value? How much does the data vary? And it can be applied to any type of data, such as numerical, categorical, ordinal, etc. Descriptive statistics can help to understand the nature of the data and to identify patterns or outliers. However, it is important to note that descriptive statistics is not the same as inferential statistics, which deals with making inferences about a population based on a sample of data.