If we want to relate a random variable y to two independent variables and , a regression hyperplane is the three-dimensional equivalent of a regression line that minimizes the sum of the squared vertical deviations between the sample points suspended in y vs. vs. space and their associated multiple regression estimates, all of which lie on this hyperplane.

Question

If we want to relate a random variable y to two independent variables  and  , a regression hyperplane is the three-dimensional equivalent of a regression line that minimizes the sum of the squared vertical deviations between the sample points suspended in y vs.  vs.  space and their associated multiple regression estimates, all of which lie on this hyperplane.

Quizplus · Accepted Answer

The Answer of If we want to relate a random variable y to two independent variables  and  , a regression hyperplane is the three-dimensional equivalent of a regression line that minimizes the sum of the squared vertical deviations between the sample points suspended in y vs.  vs.  space and their associated multiple regression estimates, all of which lie on this hyperplane.

If We Want to Relate a Random Variable Y to Two