Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 25.1 * weight - 1146
This means that on average for every extra kilogram weight a rider loses 25.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KONYSHEV Dmitry | 77 |
| 5 | LIPTÁK Miroslav | 68 |
| 7 | UGRUMOV Piotr | 58 |
| 8 | SCHUR Jan | 73 |
| 10 | ABDUZHAPAROV Djamolidine | 72 |
| 990 | SPRUCH Zbigniew | 68 |
| 990 | CORDES Tom | 70 |
| 990 | HARMELING Rob | 76 |
| 990 | TONKOV Pavel | 70 |
| 990 | JASKUŁA Zenon | 76 |
| 990 | PIĄTEK Zbigniew | 71 |
| 990 | KLUGE Mike | 77 |
| 990 | TANG Xuezhong | 71 |
| 990 | MAGALHÃES AZEVEDO Wanderley | 70 |