| Summary: | Seaweed is a superior commodity of Rote Ndao District. The island is located in Southern part of East Nusa Tenggara Province. The goal of this research is to analyze the factors that influence the seaweed farmers’ income in Rote Ndao district. The data was collected in 2017. Following this, they were analyzed by using Pearson correlation and multiple linear regression analysis with a response and six predictor variables. The results of Pearson correlation analysis suggested that five predictors should be used. Then, on the results of assumption tests that are underlying multiple linear regressions revealed that regression model fulfills the requirement of normality, non-heteroscedasticity, and autocorrelation assumption. Th results showed that the non-multicollinearity assumption was violated. Therefore, two predictors need to be excluded, in order to get over it. Based on the multiple linear regression analysis finding it was suggested that the cost of rope, buoy, and wooden peg have positive effect on income. The rope’s cost has significant influence while the others were not significant.
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