# Practical work in MEI Econometrics

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Task 1. Enterprises region (number of the enterprise A) are ordered in terms of output. Indices in the number of administrative staff is characterized. The data are summarized in Table

Task 2. Calculate What is the sum of the squares, explaining the model ESS, if the total sum of squares and the residual sum of squares?

Task 3. Data Targets 1, calculate the correlation coefficient.

Task 4. We were rated change of the dependent variable (assuming costs) of the independent variables (income and prices DPI P) in the form. As can be interpreted coefficients of the independent variables?
Task 5. Gaussian distribution is symmetric with respect to zero, and it suggests that positive errors as likely as negative; thus, small errors
Task 6. When and on what basis we can talk (argue) a preference for one-sided test, compared with about two-way used as an alternative hypothesis?
Task 7. data on the size of aggregate disposable income and total expenditure on private consumption in the United States between 1970 and 1979 (in billions of. Dollars in 1972 prices), the estimated linear relationship model is given.
Task 8. Consider the three options the forecast of consumption (y) appliances of revenue (x). We have:
Task 9. The administration of the insurance company decided to introduce a new type of service - 9.1. Construct a scatterplot result value (total damage), and the independent variable (the distance to the nearest station)
9.2. Determine the parameters a and b of the equation pair linear regression.
9.3. Calculate the linear correlation coefficient.
9.4. Check the statistical significance of the regression coefficient «d» with the help of Student t-test
9.5. Rate the statistical significance of the regression model was built with the help of the whole F-Fisher criterion

Task 10. The available data on prices and dividends on ordinary shares, also on the profitability of the company