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| 5100,58 | 4,2 | 327,019 | 106941,2 | 0,14007 | 0,01962 | 45,8044 |
| 4885,41 | 4,078 | 111,849 | 12510,12 | 0,01807 | 0,00033 | 2,02073 |
| 5416,94 | 4,23 | 643,379 | 413936,1 | 0,17007 | 0,02892 | 109,417 |
| 4496,66 | 4,001 | -276,901 | 76674,35 | -0,0589 | 0,00347 | 16,3187 |
| 4722,08 | 4,044 | -51,4813 | 2650,328 | -0,0159 | 0,00025 | 0,82027 |
| 5537,91 | 4,208 | 764,349 | 584228,9 | 0,14807 | 0,02192 | 113,175 |
| 5074,01 | 4,11 | 300,449 | 90269,4 | 0,05007 | 0,00251 | 15,0425 |
| 4807,09 | 4,062 | 33,5287 | 1124,171 | 0,00207 | 0,000043 | 0,06929 |
| 4046,02 | 3,85 | -727,541 | 529316,4 | -0,2099 | 0,04407 | 152,735 |
| 4683,93 | 4,037 | -89,6313 | 8033,776 | -0,0229 | 0,00053 | 2,05555 |
| 4872,42 | 4,08 | 98,8587 | 9773,036 | 0,02007 | 0,0004 | 1,98376 |
| 4003,22 | 3,9 | -770,341 | 593425,8 | -0,1599 | 0,02558 | 123,203 |
| 4628,01 | 4,03 | -145,551 | 21185,19 | -0,0299 | 0,0009 | 4,35684 |
| 4293,44 | 3,96 | -480,121 | 230516,5 | -0,0999 | 0,00999 | 47,9801 |
| 5035,7 | 4,109 | 262,139 | 68716,68 | 0,04907 | 0,00241 | 12,8623 |
| 71603,42 | 60,899 | 0,1609 | 647,845 |
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| 5100,58 | 4,2 | 4,137 |
| 4885,41 | 4,078 | 4,0863 |
| 5416,94 | 4,23 | 4,2115 |
| 4496,66 | 4,001 | 3,9947 |
| 4722,08 | 4,044 | 4,0478 |
| 5537,91 | 4,208 | 4,24 |
| 5074,01 | 4,11 | 4,1307 |
| 4807,09 | 4,062 | 4,0678 |
| 4046,02 | 3,85 | 3,8885 |
| 4683,93 | 4,037 | 4,0388 |
| 4872,42 | 4,08 | 4,0832 |
| 4003,22 | 3,9 | 3,8784 |
| 4628,01 | 4,03 | 4,0256 |
| 4293,44 | 3,96 | 3,9468 |
| 5035,7 | 4,109 | 4,1217 |
| 71603,42 | 60,899 | 60,899 |
3.2
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( 3.3).
3.3 -
| 0,10,3 | (-0,1)(-0,3) | |
| 0,30,5 | (-0,3)(-0,5) | |
| 0,50,7 | (-0,5)(-0,7) | |
| 0,70,9 | (-0,7)(-0,9) | |
| 0,90,99 | (-0,9)(-0,99) |
Multiple Regression - Col_2
Dependent variable: Col_2
Independent variables:
Col_1
| Standard | T | |||
| Parameter | Estimate | Error | Statistic | P-Value |
| CONSTANT | 2,93509 | 0,0727762 | 40,3304 | 0,0000 |
| Col_1 | 0,00023564 | 0,0000151847 | 15,5182 | 0,0000 |
Analysis of Variance
| Source | Sum of Squares | Df | Mean Square | F-Ratio | P-Value |
| Model | 0,152658 | 0,152658 | 240,81 | 0,0000 | |
| Residual | 0,008241 | 0,000633923 | |||
| Total (Corr.) | 0,160899 |
R-squared = 94,8782 percent
R-squared (adjusted for d.f.) = 94,4842 percent
Standard Error of Est. = 0,0251778
Mean absolute error = 0,0169255
Durbin-Watson statistic = 1,36787 (P=0,0913)
Lag 1 residual autocorrelation = 0,0654037
The StatAdvisor
The output shows the results of fitting a multiple linear regression model to describe the relationship between Col_2 and 1 independent variables. The equation of the fitted model is
Col_2 = 2,93509 + 0,00023564*Col_1
Since the P-value in the ANOVA table is less than 0,05, there is a statistically significant relationship between the variables at the 95,0% confidence level.
. . .. 
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H 0 t - n 2 . t = 15,501 t a,n n = n 2 = 15-2 = 13 ( ). t a,n = t a=0.05, n=13 = 1,771. 15,501 1,771 , H 0 . . .
3
