Simple Linear Regression Method to Predict Cooking Oil Prices in the Time of Covid-19

  • Hasibuan L
  • Putri D
  • Jannah M
N/ACitations
Citations of this article
17Readers
Mendeley users who have this article in their library.

Abstract

The background of this research is the soaring price of cooking oil during the Covid-19 period which continues to increase in the city of Padang. The research method used is a case study of data on cooking oil prices in the city of Padang. The purpose of this study is to obtain predictions of cooking oil prices. Linear regression is used as a prediction method for cooking oil prices in the next X(t) period. The research method used is a case study using simple linear regression. In this study, the actual cooking oil price Y(t) is the effect variable and the time period is the causal variable. The linear regression equation obtained is Y'=25239+124.56X. Testing the accuracy of the prediction results using RMSE with a value of 0.1913. The prediction of cooking oil prices using the linear regression method can be said to be in the very good category, it can be seen that the RMSE value is very small in the test and meets the standards.

Cite

CITATION STYLE

APA

Hasibuan, L. H., Putri, D. M., & Jannah, M. (2022). Simple Linear Regression Method to Predict Cooking Oil Prices in the Time of Covid-19. Logaritma : Jurnal Ilmu-Ilmu Pendidikan Dan Sains, 10(01), 81–94. https://doi.org/10.24952/logaritma.v10i01.5319

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free