The paper that you are going to write should have the following elements.

Identification of the problem$/$issue

Theorization of the problem to as much detail as possible

Construction the mathematical model

General assumptions about the linear regression model and the parameters for your model

Description, method of collection, and source$($s$)$ of data

Application of statistical$/$quantitative methods and its justification

Reporting and analysis of the results

Conclusions

References

Footnotes$/$endnotes

BASIC CONCEPT OF REGRESSION ANALYSIS

Alchemer is an incredibly robust online survey software platform. It's continually voted one of the best survey tools available on G$2,$ Einancesopoliae, and others. To make it even easier, we've created a series of blogs to help you better understand how to get the most from your Alchemer account.

Regression analysis is a powerful statistical method that allows you to examine the relationship between two or more variables of interest.

While there are many types of regression analysis, at their core they all examine the influence of one or more independent variables on a dependent variable.

Regression analysis provides detailed insight that can be applied to further improve products and services.

Here at Alchemer, we offer hands$-$on application training events during which customers learn how to become super users of our software.

In order to understand the value being delivered at these training events, we distribute follow$-$up surveys to attendees with the goals of learning what they enjoyed, what they didn't, and what we can improve on for future sessions.

The data collected from these feedback surveys allows us to measure the levels of satisfaction