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This document summarizes the results of statistical analyses performed to test assumptions for a linear regression model. Skewness and kurtosis tests found the dependent variables to be non-normally distributed. Taking logarithmic transformations addressed this issue. Heteroskedasticity tests found no heteroscedasticity in the model. Autocorrelation tests detected positive autocorrelation, which was corrected by transforming the model into first differences. The corrected model showed no autocorrelation iss

Author

Yunus Prasetyo

Language

EN