For example, a manager observes how advertising costs and marketing staff can influence product sales in a company XYZ. Multiple linear regression analysis is intended to test the effect of independent variables on the dependent variable, where the number of independent variables is 2. It is important to test this assumption to obtain the best linear unbiased estimator. In various research results that have been published, linear regression using the ordinary least square method is the most dominant one used by researchers. Most of the regression equation specifications compiled are single equations with assumptions that must be fulfilled. Regression was selected because it can answer the estimated influence of one variable on other variables at one time and several times (time series). Although the regression consists of linear and non-linear regression, linear regression is the most widely chosen data analysis method by researchers. Regression analysis is very popular for researchers, both for writing a bachelor thesis, master thesis, and dissertation thesis, decision-making at the company level, and scientific development. Therefore, a basic understanding of statistics needs to be understood by those conducting research activities. The research hypotheses prepared at the beginning of the proposal need to be tested statistically so that the correct findings can be obtained. Data analysis methods not following statistical theory and scientific principles can potentially cause errors in making research conclusions. The selection of data analysis methods is important in determining the study’s results.
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