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Task Econometrics option 10
Problem 1. Steam regression and correlation.
In areas of the region display data for 199X, the (see. Table
its variants).
Required:
1. A linear regression equation y pair of x.
2. Calculate the linear correlation coefficient, and
average error of approximation.
3. To assess the statistical significance of the regression parameters, and
Correlation using F-test and the Fisher Student t-test.
4. Run the forecast salary y in the forecast
meaning the average per capita subsistence level x, is 107%
on average.
5. Evaluate the accuracy of prediction by calculating prediction error and
confidence interval.
6. On the same graph to construct the original data and the theoretical
line.
A detailed description of the problem with the schedule
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