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 = 0.3 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JASKUŁA Zenon | 76 |
| 5 | LIPTÁK Miroslav | 68 |
| 7 | TETERIOUK Andrei | 72 |
| 8 | RICH Michael | 82 |
| 15 | SVORADA Ján | 76 |
| 19 | OZOLS Dainis | 74 |
| 22 | PIĄTEK Zbigniew | 71 |
| 24 | ZAMANA Cezary | 74 |
| 35 | TANG Xuezhong | 71 |
| 43 | SILVA João Pedro | 68 |
| 57 | SPRUCH Zbigniew | 68 |
| 59 | RODRIGUES Orlando Sergio | 68 |
| 66 | CAPELLE Christophe | 73 |
| 69 | DURAND Jacky | 76 |
| 73 | POLI Eros | 87 |
| 75 | WANG Shusen | 73 |