Which of the following is true about the p-values displayed in the output from Excel for a regression model? O p-values are only statistically significant if they are estimated from a non-linear model. If a p-value is found to be statistically significant, this does NOT guarantee that it will also be practically significant O p-values are only considered useful when the R-square value is greater than 1. o We should ALWAYS evaluate the p-value at a 0.05 level of significance. Which of the following is true when building a regression model for a "big data" data set that contains a large amount of sample data? The R-square value can no longer be interpreted as the amount of variability in the sample data explained by the model. The intercept value should always be set equal to 0. O Any p-value less than 0.8 should be considered significant. O Inference using p-values becomes less meaningful