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# Description

Objective 1
There are data on the activities of the largest companies in the United States in 1996.
№ p / p Net income billion. US, use the capital, bln. US, x2 Number of employees, thou. Pers. X3
1 0.9 18.9 43
2 1.7 13.7 64.7
3 0.7 18.5 24
4 1.7 4.8 50.2
5 2.6 21.8 106
6 1.3 5.8 96.6
7 4.1 99 347
8 1.6 20.1 85.6
9 6.9 60.6 745
10 0.4 1.4 4.1
11 1.3 8 26.8
12 1.9 18.9 42.7
13 1.9 13.2 61.8
14 1.4 12.6 212
15 0.4 12.2 105
16 0.8 3.2 33.5
17 1.8 13 142
18 0.9 6.9 96
19 1.1 15 140
20 1.9 11.9 59.3
21 0.9 1.6 131
22 1.3 8.6 70.7
February 23 11.5 65.4
24 0.6 1.9 23.1
25 0.7 5.8 80.8
Assignment
1. Build paired regression equation:
- To determine the equation of the pair;
- Check the adequacy of the model;
- To determine the closeness of the connection parameters;
- To evaluate the significance of the linear correlation coefficient r;
- To give an economic interpretation of the model.
2. Build a multivariate equation depending on:
- To define the parameters of a linear equation of two-dependence;
- Define and private paired correlation coefficients;
- To determine the cumulative multiple correlation coefficients and determination;
- To check significance of the regression equation for F-Fisher criterion and the regression coefficients for the t-test;
- To give an economic interpretation of the model.

According to data presented in the table, we study the dependence of the human development index of the variables:
x1 - GDP 1997.,% to 1990 .;
x2 - final consumption expenditure at current prices,% of GDP;
x3 - household spending,% of GDP;
x4 - gross capital formation,% of GDP;
X5 - the daily caloric intake of the population kcal per capita;
x6 - life expectancy at birth, 1997. number of years.
Country X5 X6
Austria 0.904 3343 77
Australia 3001 78.2 0.922
Belarus 3101 68 0.763
Belgium 0.923 3543 77.2
Great Britain 3237 77.2 0.918
Germany 3330 77.2 0.906
Denmark 3808 75.7 0.905
India 0.545 2415 62.6
Spain 3295 78 0.894
Italy 78.2 0.9 3504
Kazakhstan 0.74 3007 67.6
China 2844 69.8 0.701
Latvia 0.744 68.4 2861
Netherlands 0.921 3259 77.9
Norway 0.927 3350 78.1
Poland 0.802 3344 72.5
Russia 0.747 2704 66.6
USA 0.927 3642 76.7
Ukraine 0,721 2,753 68.8
Finland 2916 0.913 76.8
France 3551 78.1 0.918
Czech Republic 0,833 3,177 73.9
Switzerland 0.914 3280 78.6
Sweden 0.923 3160 78.5
2. Construct a pair regression equation:
- To determine the equation of the pair;
- Check the adequacy of the model;
- To determine the closeness of the connection parameters;
- To evaluate the significance of the linear correlation coefficient r;
- To give an economic interpretation of the model.
2. Build a multivariate equation depending on:
- To define the parameters of a linear equation of two-dependence;
- Define and private paired correlation coefficients;
- To determine the cumulative multiple correlation coefficients and determination;
- To check significance of the regression equation for F-Fisher criterion and the regression coefficients for the t-test;
- To give an economic interpretation of the model.