Regression Coefficient

Regression coefficient is a statistical term which is used to measure the degree of relationship between two variables. It is calculated in order to find the extent to which changes in one variable affects the other variable. In the context of the given question, the regression coefficient of a) x on y is being asked.

Explanation

In simple terms, regression analysis is a statistical method used for the analysis of the relationship between two or more variables. It is used to predict the value of one variable based on the value of another variable. In regression analysis, the variable which is being predicted is called the dependent variable, while the variable which is used to make predictions is known as the independent variable.

Regression coefficient, also known as the slope coefficient or beta coefficient, is a measure of the degree of relationship between the independent variable and the dependent variable. It represents the amount of change in the dependent variable for a unit change in the independent variable.

In the given question, the regression coefficient of a) x on y is being asked. It means that the value of y is being used to predict the value of x. In other words, the degree to which changes in y affect the value of x is being measured.

Conclusion

Regression coefficient is an important statistical tool used for the analysis of the relationship between two variables. It helps in understanding the degree of relationship between the variables and predicting the value of one variable based on the value of another variable. In the context of the given question, the regression coefficient of a) x on y is being asked, which represents the degree to which changes in y affect the value of x.