Course Description:
This course introduces the foundational concepts of multivariate data and multiple random variables, focusing on techniques relevant to agricultural research. Key methods such as multiple linear regression for predictive modeling and multivariate analysis of variance (MANOVA) will be explored to assess the impact of independent variables on agricultural systems. Special emphasis will be placed on how these techniques can enhance sustainable agricultural practices by informing data-driven decision-making. By the end of the course, students will develop skills that allow them to apply multivariate analysis to improve both productivity and sustainability in agriculture.