Modeling for anxiety data toward students achievement in factorial design materials

Abstract

This study aims to determine various models that might occur in the relationship
between anxiety and student achievement in factorial design material. At first glance, this data
model is a linear regression with the correlation coefficient is negative. However, by using
Curveexpert 1.4, some other models are mostly non-linear that might be better models than the
linear model itself. This research method utilizes the Lavenberg-Marquardt method. The order
of the models generated from the best models was as follows: 1) Fit Polynomial; 2) Sinusoidal
fit; 3) Quadratic Fit; 4) Rational Function; 5) MMF Model; 6) User-Defined Model; 7) Linear
Fit; and 8) Logistic Model.