how many independent variables in a linear model? why are some variables not statistically significant can models have many independent variables can a model parameter be used as a statistic in a randomised sample how many variables are included in the logistic regression can an independent variable be used to determine whether a model is statistically significant? if independent variables are excluded from a model why is the error of type 1 statistically significant? can a model parameter be statistically significant how many variables are included in a generalized linear model how many models parameters are included in a model statistically significant variables include how often why is it important to reduce the number of parameter in a linear model? how to calculate the likelihood of bias by removing variables from the model if a parametric model is included, does it have a significant error rate? how do we get the data to become statistically significant are independent variables in models statistically significant are the parameters of a model statistically significant why is logistic regression useful when there are so many parameters in a linear model which parameter in an equation is considered to be statistically significant? is it safe to remove model parameters from a model