When the R 'summary' function is applied to a fitted linear model, which of the following are true? f-tests are used to get the p-values that you see the order of the model terms makes a difference to the p-values obtained if the data come from a fully replicated full factorial experiment (ie explanatory variables are orthogonal) the order of the model terms always makes a difference to the p-values obtained the order of the model terms makes a difference to the p-values obtained if the data do NOT come from a fully replicated full factorial experiment (ie explanatory variables are NOT orthogonal) t-tests are used to get the p-values that you see the order of the model terms never makes a difference to the p-values obtained