SBM ITB once again hosted a Master of Science Management (MSM) and Doctoral Science Management (DSM) Lounge event on Friday ((8/9). This class enriched the knowledge of the 25 MSM and DSM students who attended regarding data analysis, especially in Multiple Linear Regression.
Dr. Syaiful Iqbal from the Faculty of Economics and Business, Brawijaya University, was the main speaker in this activity.
Syaiful elaborated on Multiple Linear Regression as a statistical technique that harnesses multiple explanatory variables to predict outcomes for the response variable. “In contrast,” he elucidated, “Simple Linear Regression involves just one predictor and one predicted variable, whereas Multiple Linear Regression encompasses multiple predictors and a single predicted variable.”
He explained data collection methods, including variables, population, samples, and techniques. Next, he discussed data analysis methods, covering model validity, reliability, descriptiveness, and hypothesis testing.
Syaiful guided the audience in the process of selecting variables for their research. He emphasized that commencing with a broad research area, such as marketing, and subsequently narrowing it down to a specific facet, such as marketing performance, constitutes an excellent initial step.
“Variables constitute the crux of researchers’ focus. The selection process should be grounded in theory and informed by previous research,” he emphasized.
This activity is expected to improve the understanding and skills of MSM and DSM SBM ITB students in data analysis, especially Multiple Linear Regression. In this way, students are expected to be able to complete their research more efficiently.