Furthermore, we can draw up a model specification based on the data collected.

Bread sales as the affected variable is called the dependent variable (given the symbol Y). Thus, selling price as a variable that influences us is called the independent variable (given the symbol X).

Based on the case study presented in the previous paragraph, this research aims to find out how the selling price influences bread sales. The first thing we need to arrange is to determine the dependent and independent variables. Bread sales are measured in thousand pieces, and Selling price is measured in USD/unit. The data used is annual time series data from 2010 to 2019. This article will give an example of a case study on the effect of selling price on bread sales. In simple linear regression, we need to know that the number of variables used only consists of one dependent variable and one independent variable. I will convey the second calculation method in the following article. In this article, the calculation of the regression estimation coefficient will be calculated using sample observation (the first method of calculation). The tutorial will be discussed in several parts, where this time we will calculate together the estimated regression coefficients. Did you know it turns out that doing simple linear regression calculations can be done easily? Manual linear regression calculations can be completed using a calculator or excel.īecause there are still many who need a tutorial on how to calculate simple linear regression manually, on this occasion, I will discuss a tutorial on how to calculate simple linear regression using Excel manually. Calculating manually simple linear regression becomes essential, especially for researchers or students deepening econometrics or statistics. In conducting data analysis, we not only need to know how to analyze and interpret the results, but we also need to understand how to calculate manually.

Simple linear regression equation b0