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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MARENGO Umberto | 69 |
| 5 | ÖRKEN Ahmet | 69 |
| 6 | VAUBOURZEIX Thomas | 70 |
| 7 | BALYKIN Ivan | 68 |
| 8 | HEMROULLE Johan | 66 |
| 10 | JAMIESON Adam | 75 |
| 12 | HAUGHTON Richard | 64 |
| 13 | ZAHIRI Abderrahim | 57 |
| 15 | MACANALLY Ryan | 68 |
| 18 | CARSTENSEN Lucas | 69 |
| 21 | GEE Derek | 72 |
| 27 | KISKONEN Siim | 64 |
| 28 | AKDILEK Ahmet | 68 |
| 31 | TAGLIANI Filippo | 70 |