Abstract
This research is carried out for the Cuenca canton, within the 2020 period, through a quantitative study and an analysis of historical data from the database of the Continuous Agricultural Surface and Production Survey (ESPAC), to apply the linear regression method. of least squares, allowing to reduce the error when planning the production in 98%, compared with the traditional methods. The projection of the quantities to be produced allows having programming of its production to reduce costs and economic losses for farmers.
Translated title of the contribution | Analysis of the Supply of Agroecological Products in the Cuenca Canton Using Linear Regression by the Least Squares Method to Reduce Errors when Planning Production |
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Original language | Spanish (Ecuador) |
Title of host publication | Empresa, economía y derecho. Oportunidades ante un entorno global y disruptivo |
Publisher | Dykinson S.L |
Pages | 115–133 |
Number of pages | 19 |
ISBN (Print) | 978-84-1377-928-7 |
State | Published - 1 Aug 2022 |
CACES Knowledge Areas
- 214A Financial Management