MGT5028 8 Week 6 Correlation Predication Confidence and Errors Complete Solution

Question: #742

MGT5028-8 Week 6 Correlation, Predication, Confidence, and Errors

Activity Description

In your resources are three news articles that report on scientific studies and make recommendations on the basis of them. Write a paper analyzing these articles. For each article answer these questions and give reasons for your answers:

What evidence does the article provide for an association (correlation) between the phenomena discussed?
Drawing on your text’s discussion of how to interpret correlations, what would you want to check to be confident that there is actually a correlation?
What is the argument that the relationship is causal?
Is the argument for the causal relationship convincing?
If the argument is not convincing, what additional evidence is needed to make a convincing argument that the relationship is causal?
Does it make sense to make changes in your life based on the article?
Support your paper with a minimum of three (3) scholarly resources. In addition to these specified resources, other appropriate scholarly resources, including older articles, may be included.

Length: 5-7 pages not including title and reference pages

Your paper should demonstrate thoughtful consideration of the ideas and concepts that are presented in the course and provide new thoughts and insights relating directly to this topic. Your response should reflect scholarly writing and current APA standards. Be sure to adhere to Northcentral University's Academic Integrity Policy.

Solution: #756

MGT5028-8 Week 6 Correlation Predication Confidence and Errors Complete Solution

- From certain data from each of these variables one estimates if there is any relationship between them. The one most frequently studied is called linear regression (by which we seek if there is no linear relationship between the variables), but there are many more possible types: quadratic, exponential, logarithmic...
- With these data a function (which, for example, is a straight linear regression) that determines us exactly what the relationship between these variables is calculated.