GOffice.go_regression_stat_t¶
Fields¶
| Name | Type | Access | Description | 
|---|---|---|---|
| F | float | r/w | |
| adj_sqr_r | float | r/w | |
| df_reg | int | r/w | |
| df_resid | int | r/w | |
| df_total | int | r/w | |
| ms_reg | float | r/w | |
| ms_resid | float | r/w | |
| ref_count | int | r | |
| se | float | r/w | SE for each parameter estimator. | 
| se_y | float | r/w | the Standard Error of Y. | 
| sqr_r | float | r/w | squared R. | 
| ss_reg | float | r/w | |
| ss_resid | float | r/w | |
| ss_total | float | r/w | |
| t | float | r/w | t values for each parameter estimator. | 
| var | float | r/w | the variance of the entire regression: sum(errors^2)/(n-xdim). | 
| xbar | float | r/w | |
| ybar | float | r/w | 
Details¶
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class GOffice.go_regression_stat_t¶
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classmethod destroyl(stat_)¶
- Parameters: - stat ( - GOffice.go_regression_stat_tl) –
 - 
classmethod new()¶
- Return type: - GOffice.go_regression_stat_t
 - 
classmethod newl()¶
- Return type: - GOffice.go_regression_stat_tl
 - 
destroy()¶
 
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classmethod