Applied Multiple Regression Method with Exponential Functions: an Estimation of Traditional Catch Fishermen Household Income

One of causes low households income of the traditional fishermen in Indonesia is due to seasonal changing issues (capturing and not capturing seasons). Thus, it has been affected to household's income of the traditional fishermen. We estimate affecting factors to household's income of the traditional fishermen in South Sulawesi Indonesia. The traditional fishermen of Barru District, are studied here as a case area that has low income during recent decades. Using Multiple Regression analysis with exponential functions, adjusted R², hypothesis testing of the regression (F-test and t-test), and followed by classical assumption tests (multicollinearity and heteroscedasticity) of the cross-section data from fieldwork, we found that the head households education, education fishermen's wife, number of dependents, dummy of differences housing of fishermen have been significant affected to household income of the traditional fishermen, whereas the age of the head household have not been significant affected.