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 = 0.4 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JØRGENSEN René | 60 |
| 3 | REIHS Michael | 75 |
| 4 | TANNER David | 70 |
| 5 | TAARAMÄE Rein | 73 |
| 8 | KIENDYŚ Tomasz | 78 |
| 9 | OFFREDO Yoann | 69 |
| 14 | KANGERT Tanel | 65 |
| 15 | HUPOND Thierry | 65 |
| 19 | GEORGES Sylvain | 69 |
| 20 | KONDRUT Vitaliy | 79 |
| 21 | ROSSETTO Stéphane | 68 |
| 29 | LISOWICZ Tomasz | 85 |
| 31 | OJAVEE Mart | 80 |
| 45 | KNEISKY Morgan | 68 |
| 47 | VAN VOOREN Steven | 75 |
| 65 | GIRAUD Benjamin | 71 |
| 70 | FEILLU Brice | 69 |