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 = 0.6 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAUBOURZEIX Thomas | 70 |
| 3 | AKDILEK Ahmet | 68 |
| 4 | JAMIESON Adam | 75 |
| 5 | GEE Derek | 72 |
| 8 | MARENGO Umberto | 69 |
| 13 | BALYKIN Ivan | 68 |
| 14 | HEMROULLE Johan | 66 |
| 15 | HAUGHTON Richard | 64 |
| 25 | SAMLI Feritcan | 75 |
| 29 | TIPPER Jacob | 78 |
| 30 | MACANALLY Ryan | 68 |
| 32 | KISKONEN Siim | 64 |
| 45 | ORR Robert | 74 |
| 49 | TAGLIANI Filippo | 70 |
| 58 | CARSTENSEN Lucas | 69 |
| 62 | KERF Jerome | 71 |
| 64 | JOLIDON Cédric | 71 |