Regression Based Price Prediction of Staple Food Materials Using Multivariate Models

Table 1

Research data used.

Food staple	Date	Cost	High price	Thermal	Precipitation
Jalapeno	24-01-2015	55000	6500	6300	20
	28-01-2015	75000	6500	6300	27
	8-02-2015	45000	6500	6300	24
Allium sativum	24-01-2015	16547	6500	6300	20
	28-01-2015	15476	6500	6300	27
	8-02-2015	15321	6500	6300	24
Green hot pepper	24-01-2015	80000	6500	6300	20
	28-01-2015	80000	6500	6300	27
	8-02-2015	60000	6500	6300	24
Tomato	24-01-2015	50000	6500	6300	20
	28-01-2015	70000	6500	6300	27
	8-02-2015	45000	6500	6300	24
Okra	24-01-2015	48000	6500	6300	20
	28-01-2015	72000	6500	6300	27
	8-02-2015	62000	6500	6300	24
Red hot pepper	24-01-2015	20000	6500	6300	20
	28-01-2015	102810	6500	6300	27
	8-02-2015	93750	6500	6300	24