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 + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE KLEIJN Arvid | 68 |
| 2 | WEEMAES Sasha | 73 |
| 3 | SYRITSA Gleb | 85 |
| 6 | ZANONCELLO Enrico | 64 |
| 7 | BÁRTA Tomáš | 79 |
| 9 | CANAL Carlos | 70 |
| 10 | SIRIRONNACHAI Sarawut | 61 |
| 11 | CASTRILLO Pablo | 74 |
| 12 | CARR Simon | 66 |
| 13 | SALEH Mohd Harrif | 70 |
| 14 | VALGREN Michael | 71 |
| 15 | BOU Joan | 62 |
| 16 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 17 | MAZUKI Nur Amirul Fakhruddin | 57 |