MODEL DAN PELUANG TERJADINYA HUJAN BERDASARKAN KELEMBABAN MENGGUNAKAN REGRESI LOGISTIK BINER DI KABUPATEN MANOKWARI

Abstract

Manokwari Regrency has a tropical climate. This results in significant rainfall. One factor that stimulates rain is humidity. By using binary logistic regression, the model an chance of rainfall based on humidity can be determined. Logistic regression analysis is used to determine the relationship between categorical  scale response variables and numeric or categoric scale explanatory variables. If response variable used is nominal scale with  two possoble value (0 and 1), then it is called binary logistic regression. Estimation of the model  is done by logit  transformation. The model produce in this  study is g(x) = -23.443 + 0.289  humidity. The accuracy of the model is 70.4 percent and the probability of rain for humidity lowering one unit will be reduced to 0.74.