Task Econometrics option 10

Product description

Problem 1. Steam regression and correlation.

In areas of the region display data for 199X, the (see. Table

its variants).

Required:

• A linear regression equation y pair of x.

• Calculate the linear correlation coefficient, and

average error of approximation.

• To assess the statistical significance of the regression parameters, and

Correlation using F-test and the Fisher Student t-test.

• Run the forecast salary y in the forecast

meaning the average per capita subsistence level x, is 107%

on average.

• Evaluate the accuracy of prediction by calculating prediction error and

confidence interval.

• On the same graph to construct the original data and the theoretical

line.

Additional information

A detailed description of the problem with the schedule