regression
Differences
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| Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
| regression [2019/12/06 08:25] – hkimscil | regression [2020/11/05 17:37] – hkimscil | ||
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| Line 42: | Line 42: | ||
| r & = & \displaystyle \frac{SP}{\sqrt{SS_X SS_Y}}\text{, | r & = & \displaystyle \frac{SP}{\sqrt{SS_X SS_Y}}\text{, | ||
| SP & = & r * \displaystyle \sqrt{SS_X SS_Y} \quad \text{and} \\ | SP & = & r * \displaystyle \sqrt{SS_X SS_Y} \quad \text{and} \\ | ||
| + | \\ | ||
| b & = & \displaystyle \frac{SP}{SS_X} \\ | b & = & \displaystyle \frac{SP}{SS_X} \\ | ||
| & = & \displaystyle \frac{r * \sqrt{SS_X SS_Y}}{SS_X} | & = & \displaystyle \frac{r * \sqrt{SS_X SS_Y}}{SS_X} | ||
| Line 760: | Line 761: | ||
| SSE = Sum of Square Error | SSE = Sum of Square Error | ||
| 기울기 beta(b)에 대한 표준오차값은 아래와 같이 구한다. | 기울기 beta(b)에 대한 표준오차값은 아래와 같이 구한다. | ||
| - | $$se_{\beta} = \frac {\sqrt{SSE/ | + | $$ se_{\beta} = \frac {\sqrt{SSE/ |
| & = & \frac {\sqrt{1.1/ | & = & \frac {\sqrt{1.1/ | ||
| 그리고 b = 0.7 | 그리고 b = 0.7 | ||
regression.txt · Last modified: 2023/05/24 08:53 by hkimscil