However, for the sake of adequate prediction of ore behavior in industrial processes it is becoming more and more important to be able to describe particle populations in terms of texture classes.Īmong the texture analysis techniques, this paper focuses on mean intercept length (MIL). The first principle of stereology relies on a simple assumption of uniform random sectioning, whereas the liberation models require all particles to have similar textural properties. Both methods include stereological corrections based on intercept length distributions within each phase of interest. Therefore the test of the intercept is not of interest to us.The usual characterization of particulate ore material with image analysis includes modal analysis and liberation analysis. Because all the dependent variable scores are positive the grand mean is different from zero. The intercept term in this ANOVA is a test of whether the grand mean is different from zero.
But, if increase the independent variables could increase the accuracy of the module, you may try it. Even increase the independent variables, may not make it significant. If the intercept is not significant, this means that is not much important and there is no need to make it important on purpose. Herein, what if intercept is not significant in regression? Small p- values for the slope or the intercept provide evidence that the slope or the intercept are non-zero. One goal of a linear regression is to determine whether the intercept and/or the slope are "significant", meaning they are non-zero. What does the P value of the intercept mean? Published on Aug 20, 2015. If X never equals 0, then the intercept has no intrinsic meaning. If X sometimes equals 0, the intercept is simply the expected mean value of Y at that value. The intercept (often labeled the constant) is the expected mean value of Y when all X=0. Moreover, what is the significance of the intercept? In most cases, the significance of the intercept is not particularly interesting. Then if sex is coded as 0 for men and 1 for women, the intercept is the predicted value of income for men if it is significant, it means that income for men is significantly different from 0.
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