Control Econometrics 1

Product description

• Find the parameters of the linear regression equation using the method of least squares (OLS).
• Find the equation of linear regression, using the matrix method.
• Calculate the correlation coefficient and evaluate the resulting regression equation.
• Calculate the coefficient of determination and assess the quality of a selected regression equation, these.
• Calculate the average approximation error.
• Evaluate the statistical significance of linear regression using the F-test Fisher.
• Assess the statistical significance of the parameters of the linear regression equation (a and b), and correlation coefficient using the Student t-test.
• Construct confidence intervals for the parameters of the linear regression equation (a and b) where the significance level α = 0,05.

There are data on the ten factories one industry on the levels of power per work X (ths. KWh / h) and the level of productivity per worker per year Y (thous. Pcs. Ed.):

X 9,4 6,0 6,1 7,2 6,8 9,4 10,5 11,4 11.5 12,1

Y 2 7 4 5 6 5 7 8 9 8