Share
Explore BrainMass

Importance of Using Regression Analysis

Hello. Could you please provide your feedback to these Statistics questions? Thanks.
-----------------------------------------------
1 - Give the meaning (define) of:
Reliability of a sample:
Validity of a sample:
Practicality of a sample:
Precision of a sample:
Accuracy of a sample:
Why should we be concerned about the distinctions?

2- What is the importance and purpose of using regression analysis? How should it be used to formulate strategies? Provide examples specifically related to strategy formulation and implementation.

3- What is the purpose of using correlation analysis? How can correlation analysis be used in a business decision or in relation to strategy formulation and implementation?

4- How might we go about evaluating a regression equation solution? How do we decide the regression fit well enough?

5. What are the most important concepts you have learned from perform correlation, linear regression, and multiple regression analysis?

What would you recommend to your management/leadership based perform correlation, linear regression, and multiple regression analysis?

How will perform correlation, linear regression, and multiple regression analysis impact you personally and professionally?

What are the value-added perform correlation, linear regression, and multiple regression analysis or what difference can these concepts make to your organization? (e.g., financial savings, productivity improvements, expanded marketing activities).

Solution Preview

1 - Give the meaning (define) of:
Reliability of a sample: The accuracy of a sample that is research-based.
Validity of a sample: This is about the truth of sample.
Practicality of a sample: How one is able to use the sample in everyday life.
Precision of a sample: The minute detail that goes into the sample with all the measurements involved.
Accuracy of a sample: How neutral the data and the responses are from one variable to another.

Why should we be concerned about the distinctions?

One needs concerned about these distinctions because of using them interchangeably when discussing parts of the data within one's own research. For example, the sample can become both valid and reliable if little bias is used throughout it. Furthermore, this is also true on making it applicable and practical for the average human who wants to use it in their daily life. However, if everything is not so accurate, then he or she will struggle to see a pattern in order to draw conclusions. This is why it is imperative that these distinctions are used with caution and one understands how to put them within their own research paper in a professional manner.

2- What is the importance and purpose of using regression analysis? How should it be used to formulate strategies? Provide examples specifically related to strategy formulation and implementation.

The importance of using a regression ...

Solution Summary

This solution discussed various statistical terminology and regression analysis.

$2.19