The Study Prediction Factors the Quantity of Cassava Production

Abstract

The purpose of this research was to study the prediction factor affecting the quantity     cassava in Ban LaLom community, Lalommaipatthana sub-district, Chokchai district, Nakhon Ratchasima province. A total 4 factors were studied, namely 1) cassava planting area 2) use of fertilizers to nourish cassava plants 3) cassava varieties cultivated 4) diseases and pests of cassava. Research tools were a satisfaction various factors affecting the quantity of cassava production. The sample group includes 98 cassava planters or cassava planters who own the plantation in Ban LaLom community, Lalommaipatthana sub-district, Nakhon Ratchasima province. The results showed that all 4 factors were related to the quantity of cassava production at a relatively high level. The production volume was predicted 55.3% with statistical significance at the 0.05 level, indicating that the said factor could explain the change in the cassava production volume of 55.3%. The regression of the forecasters found that only 2 factors could predict the yield namely cassava planting area and cassava varieties cultivated. There was statistical significance at the 0.05 level. The equation for forecasting the quantity of cassava production could be written as follows. The forecast equation in the form of raw score Y = 6.862 + 1.450X₁ + 1.536X₃ The forecast equation in the form of a standard score  Z = 0.332Z₁ + 0.295Z₃