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 = 3.2 * weight - 188
This means that on average for every extra kilogram weight a rider loses 3.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ÖRKEN Ahmet | 69 |
| 5 | MACANALLY Ryan | 68 |
| 6 | HEMROULLE Johan | 66 |
| 7 | TAGLIANI Filippo | 70 |
| 9 | TIPPER Jacob | 78 |
| 10 | HAUGHTON Richard | 64 |
| 12 | KISKONEN Siim | 64 |
| 14 | MARENGO Umberto | 69 |
| 33 | JOLIDON Cédric | 71 |
| 45 | KERF Jerome | 71 |
| 53 | BALYKIN Ivan | 68 |
| 54 | AKDILEK Ahmet | 68 |
| 61 | VAUBOURZEIX Thomas | 70 |
| 62 | JAMIESON Adam | 75 |
| 65 | ORR Robert | 74 |
| 71 | GEE Derek | 72 |
| 72 | SAMLI Feritcan | 75 |