what are the parameters of an equation? which of the following is the best method to estimate the causal inference of multivariate outcomes? if the second equation is an ols model how does it work which factor does $t$ have an effect? what is the average effect of t$ of a second equation which of the following is a valid model used in the first equation for a multivariate program? what is the model of causal inference how to solve a causal inference equation is it possible to infer a causally linked equation what is the function of delta in a causal inference? how does the a-p r relationship differ from the a-p r-p r-p r-p- ls a? does t$ have an effect on y_1$? how is the causal equation calculated in a multivariate model? when do you estimate the second equation what is the average effect of $t$ why does it need to be the fitted model of a correlated multivariate outcome what is the inverse of delta in a linear regression which model of data is used to estimate a causal program what is the difference between the first and second equations when one model has the same effect? how do you estimate one equation and estimate the other?