The lecture focused on linear regression and correlation analysis and interpreting results output. The article was prepared and designed to achieve four main objectives. The first objective is to guide the user on how to interpret the significant value of correlation analysis. Then describes how to study output table generated from excel data analysis tool pack for correlation. The last two objectives are in relation to the regression equation, which has a significant value 'r' used in decision making. Accuracy and reliability of statistics test are crucial, more appropriate significant value known as R-square obtained from multiple regression equation (‘Lecture 2’, 2020).
I have heard the concepts before but what stood out for me is the t-test. Information is well organized and presented in a simple and understandable language. There is a good introduction to the contents and sub-topics are organized in a way they connect from the one phase to another. The flow of information enhances user ability to comprehend and connect principles learned. Further, in the content presentation, the lecture has achieved a lot through the use of solved examples. Examples used made it easier to follow and internalize principles discussed.
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Linear Regression and Correlation analysis are well aligned to issues affecting society. Detectives can use the approach to describe the interaction between social, environmental and economic factors to crime. Good data should generate a reliable Pearson Correlation Coefficient which can communicate the strength of variable being evaluate to crime. Significant values, significance-f, t-statistic, and p-value are applied in hypothesis testing. Hypothesis testing enables detective to make a reliable conclusion based on the scientifically acceptable procedure on assumption and theories within the society they serve. In addition, the procedures described can contribute to enhanced management of social vices and challenges since they establish causative factor relating to the subject matter being investigated (NCSS, nd).
References
BUS 308 – Week 4, Lecture 2. (2020). Lecture Handout[pdf]
NCSS. (nd). Linear Regression and Correlation. Retrieved from: http:// www.ncss.com
