Multiple Regression Analysis of Factors Affecting the Yield of Pakcoy (Brassica rapa L.)

Abstract

Microclimate is a key factor in vertical hydroponic systems, significantly influencing plant growth. This study aims to analyze the relationship between air temperature, relative humidity, and light intensity on the growth of pakcoy (Brassica rapa L.) cultivated in a vertical hydroponic setup. A multiple linear regression model was applied to evaluate the effects of these three microclimate variables on plant height, leaf number, and root length. The resulting regression equations indicate that temperature (X₁), humidity (X₂), and light intensity (X₃) generally contribute positively to plant growth, although light intensity showed the smallest coefficients across all parameters. The coefficient of determination (R²) was 0.520 for plant height, 0.575 for leaf number, and 0.518 for root length, suggesting that over 50% of the variation in growth can be explained by these environmental factors. These findings highlight that temperature and humidity play dominant roles in supporting pakcoy growth, while light intensity provides a smaller yet relevant contribution. This analytical approach offers a foundation for precise microclimate management in vertical hydroponic systems to enhance productivity and efficiency.