Regression Analysis. Regression Discussion
Regression Analysis. Regression Discussion
Use the Education Resources Information Center (ERIC) (Links to an external site.) to find an
article that meets the following criteria.
Peer-reviewed.
Full text available on ERIC.
Contains the words “Method of Least Squares” or “Linear Regression.”
Download the full-text article and write a four-paragraph (maximum) critique of the article. Follow
the guidelines in the Writing Article Critiques page.
Post your four paragraph (maximum) article critique, include your article as an attachment, and
then address the following:
Do you believe the results? Why or why not?
Can a reported mean of your article variables be treated as a value from a population having a
normal distribution? Why or why not?
Report the Regression Equation and provide an example of a “Predicted” value.
You should make your initial post before the fourth day of the module week to receive full credit.
Return at least once later in the module week to provide meaningful comments to two or more of
your classmates’ posts. Do not “post and run” – making all three posts in the same visit. You
need multiple visits to the discussion area to gain multiple perspectives by reading all of the
posts and replies.
Review the Discussion Rubric for detailed grading information.
Use the Education Resources Information Center (ERIC) (Links to an external site.) to find an
article that meets the following criteria.
Peer-reviewed.
Full text available on ERIC.
Contains the words “Method of Least Squares” or “Linear Regression.”
Download the full-text article and write a four-paragraph (maximum) critique of the article. Follow
the guidelines in the Writing Article Critiques page.
Post your four paragraph (maximum) article critique, include your article as an attachment, and
then address the following:
Do you believe the results? Why or why not?
Can a reported mean of your article variables be treated as a value from a population having a
normal distribution? Why or why not?
Report the Regression Equation and provide an example of a “Predicted” value.
You should make your initial post before the fourth day of the module week to receive full credit.
Return at least once later in the module week to provide meaningful comments to two or more of
your classmates’ posts. Do not “post and run” – making all three posts in the same visit. You
need multiple visits to the discussion area to gain multiple perspectives by reading all of the
posts and replies.
Review the Discussion Rubric for detailed grading information.
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