regressor meaning in Hindi

Examples

1. OLS can handle non-linear relationships by introducing the regressor HEIGHT 2.
2. For instance, the third regressor may be the square of the second regressor.
3. For instance, the third regressor may be the square of the second regressor.
4. If it holds then the regressor variables are called " exogenous ".
5. The constant term in all regression equations is a coefficient multiplied by a regressor equal to one.
6. This sum is thus equal to the constant term's regressor, the first vector of ones.
7. The coefficient " ? " 1 corresponding to this regressor is called the " intercept ".
8. In this case ( assuming that the first regressor is constant ) we have a quadratic model in the second regressor.
9. In this case ( assuming that the first regressor is constant ) we have a quadratic model in the second regressor.
10. With more than one regressor, the " R " 2 can be referred to as the coefficient of multiple determination.