can a nominal data table be a single significance how to combine the value of p value / coefficient when is the p value taken into account in a regression how to combine two data types to find the relationship between the p value and the coefficient what is the relationship between the p value and the coefficient for a regression of categorical data? what model would use dummy variable as a parameter how to use dummy variables in regression how to transform nominal to continuous what is the difference between a continuous and categorical data which of the following is an example of a collapsing regression? how to collapse multiple dummy variables in regression why do we use the coefficients and the p-value in the regression? what is a single significance value why is it important to factorize p value in regression? is there a simple nonlinear transformation of p-value and coefficient? dummies for generating regression models definition of collapsing regression model from nominal data to single significance value what is the difference between a coefficient value and p value how to use multiple nouns what is the method for collapsing a nominal p value into a single significance value