Task Econometrics option 10
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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.
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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