Select which statements are true about including a quantitative confounding variable in a linear regression model: A. For every one unit increases in the quantitative explanatory variable, the model predicts a change in the response variable that is the value of the coefficient associated with the explanatory variable. B. The coefficient is the average difference in the outcome associated with levels of the confounder. C. Including the confounder in the model may change the measured effect of the explanatory variable on the response variable . D. For every one unit increase in the quantitative confounding variable, the model predicts a change in the response variable that is the value of the coefficient associated with the confounding variable