Statistical Analysis of Determinants of Wheat Crop: A Case Study of Bahawalpur

Abstract

The primary objective of this article is to examine and evaluate the variables and determinants that influence the yield per acre of the staple wheat crop in the Bahawalpur area. During the years 2011 to 2022, secondary crop data is gathered from the crop reporting service (CRS), the Agriculture Department, and the Government of the Punjab. A descriptive analysis is presented and discussed to show the effect of determinants on the yield of wheat crops. Five main independent variables (regressors) are examined using multiple linear regression models to examine how the determinants affect the output of the yield of the staple wheat crop. The findings revealed that determinants like seed sown time, seed ratio, wheat varieties, irrigations, and the previous crop had a statistically significant impact on the yield of the staple wheat crop in the study area. All the discussed determinants of wheat play less or more significant role in the increase of the wheat production.