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Regression equation

Using regression analysis found:

• regression equation;
• regression coefficient;
• linear correlation coefficient;
• parameters of linear regression equations;
• overcrowding connection with the performance of correlation and determination;
• static reliability of regression modeling using F-test and Fisher using Student's t-test;
• predictive value of the result if the predictive value of the factor change in% from its average level;
• confidence interval estimate for the level of significance;
• significance of the correlation coefficient;

Specify the number of data (number of rows), then Next. The resulting solution is stored in the file MS Word. For editing, you can use formula editor Microsoft Equation

Forms of relationships are very diverse. As the most common species to isolated functional (complete) and correlation (incomplete) connection .
correlation appears, on average, for the mass of observations, when given values of the dependent variable corresponds to a certain number of probability values of the independent variable.
vivid depiction of the correlation table is the correlation field. It is a graph, where the abscissa delayed value X, the vertical axis - Y, and the dots show a combination of X and Y. From the position of points can be judged on a relationship.
Indicators tightness connection make it possible to characterize the dependence of the effective variation of the trait variation of the trait-factor.
better indicators of the degree of tightness correlation is linear correlation coefficient of . In calculating this figure takes into account not only the deviations of individual values characteristic of the average, but the very magnitude of these deviations.

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