Regression Methods
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2021 ◽  
M. Chertov ◽  
V. Antsiferova

The presented article explores the methods of correlation and regression analysis, developed its own algorithm for obtaining the initial data of interest, and also presents the calculation algo-rithm for the law of change in sales volumes. Based on the presented calculations, the errors of the correlation coefficients and the results of the regression analysis were calculated.

2021 ◽  
Vol 13 (2) ◽  
pp. 127
Umi Muslimah ◽  
Agus Sugandha

Cassava  are one of the staple foods in place of rice. However, today almost no one consumes cassava  as a staple food substitute for rice. Indonesia is ranked third as the world's largest producer of cassava. Therefore, to maintain the value of yam production, the author will look for linear regression models as well as the best models with factors that are harvest area and productivity. Productivity is defined as the result of a comparison between the area of harvest and production. To search for regression models use multiple linear regression methods, while the best models use stepwise methods. Based on existing data, the best model is obtained with negative interception and influenced by productivity and the extent of the yam harvest.

Xin Yang ◽  
Rui Yang ◽  
Yin Ye ◽  
Ziran Yuan ◽  
Daozhong Wang ◽  

2021 ◽  
Vol 2 (4) ◽  
pp. 66-82
Delvi Rahma Novianti ◽  
Juhaini Alie ◽  
Endah Dewi Purnamasari

This study aims to analyze the effects of current ratio (CR) and quick ratio (QR) on return on assets (ROA) in the food and beverage sub-sector listed on the Indonesia Stock Exchange. Financial report data were collected through documentation, literature study, and observation. This study implemented multiple linear regression methods to analyze data. The results of the investigation prove that partially CR has a significant effect on ROA. On the other hand, QR has no significant effect on ROA. Simultaneously, CR and QR have a significant effect on ROA. This research offers empirical evidence on the discussion of CR, QR, and ROA especially for the food and beverage industry.

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