American Public University System Computing Salaries and Wages Discussion Week 2 Forum / COMPUTING SALARIES AND WAGES due 07/15/2020 Week 7 Forum Regr

American Public University System Computing Salaries and Wages Discussion Week 2 Forum / COMPUTING SALARIES AND WAGES

due 07/15/2020

Week 7 Forum Regression and Correlation

Due 07/ 16/2020

Week 7: Moral Codification

Due 07/16/2020

replies

Due 07/8/2020

this are the due dates. all instructions in the attachment 8 replies
Week 2 Forum / COMPUTING SALARIES AND WAGES
Thomas Campbell owns Veiled Wonders, a firm that makes window treatments. Some merchandise is custom-made to
who work primarily on standardized blinds and some employees who additionally work on custom products on an as-n
Your initial post must be in your own words. Post at least two peer responses further discussing and exploring the ma
Forum Instructions
Students must post a main response to the weekly discussion question by Day 3, and at least two replies to other
Therefore, replies after the end of the each week will not be graded. The forums are for student interaction and subm
participation. Students should demonstrate their own knowledge in the forums and avoid copying and past
Make sure you are using credible sources in your discussions and assignments. Scholarly journals are the preferred so
to the field, which are found via our Library. Websites such as Investopedia, ask.com, answers.com, or dictionary-typ
reference. The purpose is to bring in new information and how does it apply to our topic from a real-world perspective
More information what a credible source consists of can be found here: http://writingcommons.org/evidence/support
Week 7 Forum
Topic: Regression and Correlation
Look back to the raw data you collected in week 1. There are 7 variables listed:
Vehicle
type/class
Year
Make
Model
Price
MPG
(city)
MPG
(highway)
Choose TWO variables that you feel are correlated and explain why you feel that they are
correlated. Do you suspect the relation is positive or negative? Why? Which would be considered
the independent variable, which the dependent variable? Why?
Run a regression analysis in Excel and provide the results in your post along with your raw data.
Looking at the R2 value, explain what this indicates about the strength of the relation. Then write
out your Regression Equation, state if your p-value and conclusion.
I encourage you to review the Week 7 Regression PDF at the bottom of the discussion forums. This
will give you a step by step example on how to calculate a correlation and run a Regression using
Excel. I DO NOT recommend doing this by hand. Let Excel do the heavy lifting for you. You can
also use this PDF in Tests&Quizzes tab.
There are additional PDFs that were created to help you with the Homework, Lessons and Tests in
Test&Quizzes tab. I encourage you to review these ASAP! These PDFs are also located at the
bottom of the forum.
Instructions: Your initial post should be at least 150 words. Make sure you include your data
set in your initial post as well. You must also respond to at least 2 other students. Responses
should be a minimum of 50 words and may include direct questions.
Peer response #1 – Looking at your peer’s Excel output, and the Regression Equation they wrote
out, interpret the slope of their Regression Equation. Use their Regression Equation to make a
prediction and show the work for your predicted value based on your expression.
For Example, if
your peer used Year to predict Price, plug in a Year value into the regression equation and use it
to predict the Price of a vehicle. Does this predicted Price value make sense with their data?
Peer response #2 – It is important to remember that typically a two-factor regression model
cannot accurately describe the entire situation. Look at the dependent variable that your peer
chose. Name at least 2 independent factors you would use to run a Multiple Linear Regression
(MLR) and explain why you feel they are related. Then use those factors to run a Multiple Linear
Regression (MLR) on your peer’s data and see if the variables you chose are related to the
dependent variable they chose. What is your MLR equation? Is your MLR significant? Are any of
the Independent factors significant? What is the R2 value? Explain and interpret this value and
how it relates to the MLR. Make sure you include your MLR Excel output as an attachment in your
response post.
Initial Post Due: Thursday, by 11:55 p.m., ET
Week 7 Regression.pdf
Week 7 Multiple Linear Regession.pdf
Week 7 Regression Prediction Interval.pdf
Week 7 Regression Testing the Hypothesis.pdf
Week 7 Forum
Week 7: Moral Codification
This week’s lesson discussed some of the attempts throughout history to codify
moral precepts for universal prescription. Consider and comment on the
following questions:
1. Imagine that you are asked to develop a code of ethics for a company. On
which of the ‘rules’ discussed in the lesson would you base this code, and why?
2. What would the world look like today if the Allied powers had followed
Gandhi’s advice during World War II? Given your answer, what does this tell us
about the fallibility of the golden/silver rule?
Instructions: The goal of the discussions is to have a robust, informative,
and reflective interaction about course topics. Learning is directly related to
effort put forth toward discussion engagement and participation. In order to
encourage active and quality participation that adds value and increases
learning, the grade you earn will be higher as your participation and quality of
content increases. Please post at least two substantive replies to classmates
or your instructor for full credit consideration. Refer to the grading rubric
for specific guidelines.
You are expected to participate during the current week’s discussion. Contact
your instructor in cases of emergency or uncontrollable circumstances.
Initial Post Due: Thursday, 11:55 PM EST

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