The tool supports interface of Foresight Analytics Platform 9 or earlier.
The Specification tab contains the identified equation with estimated coefficients and the coefficient table.
On the Specification panel:
Make sure that the results panel is displayed.
Select criterion function, output variable or one of equation links on working area.
NOTE. The tab is available if criterion function or one of the equation types is used: linear regression, non-linear regression, ARIMA, determinate equation, trend, custom code.
After executing the operations go to the Specification tab on the results panel:
The coefficient table contains:
Factor. Name of the factor, at which the coefficient was estimated.
If executing additional operations is allowed for this factor, the 
button appears for the factor. To execute operations, click the button and use commands in the menu that opens.
Value. Estimated coefficient value.
Standard Error. An approximate value of deviation (caused by randomness of sample) of the coefficient estimation from the actual value. The greater is the value of the standard error, the less reliable is coefficient estimation.
t-statistics. It is calculated as a ratio of coefficient estimation to its standard error. It is used to check the null hypothesis that the coefficient is equal to zero, that is, it is not significant in the considered regression model. The hypothesis is checked assuming that residuals have normal distribution. It is easier to interpret the value of the t-statistics using the probability value given next to it.
Probability. The probability value for t-statistics. The null hypothesis of estimated coefficient that is equal to zero is rejected at the selected significance level (usually, 0.1, 0.05, or 0.01), if the probability is less than the significance level.
Features of working with the Specification tab depend on the equation type:
Features of working with the Specification tab for the criterion function are given in the Setting Up Criterion Function Expression section.
See also:
Linear regression
button next to the equation.