Question

Linear predictor from joint distribution table.

a) Linear predictor is not derived from a joint distribution table.
b) Linear predictor is obtained by summing up the predictors.
c) Linear predictor is derived directly from the joint distribution.
d) Linear predictor is calculated using the response variable.

Answer 1

The correct statement about the linear predictor from a joint distribution table is that it is derived directly from the joint distribution.

Step-by-step explanation:

The correct statement about the linear predictor from a joint distribution table is:

c) Linear predictor is derived directly from the joint distribution.

A linear predictor is a statistical model that estimates the relationship between a dependent variable and one or more independent variables. It is derived directly from the joint distribution of the variables, using methods such as regression analysis. The linear predictor helps to predict the value of the dependent variable based on the values of the independent variables.