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 | SYRITSA Gleb | 85 |
| 2 | BLIKRA Erlend | 75 |
| 3 | KANTER Max | 68 |
| 4 | TAMINIAUX Lionel | 74 |
| 5 | SAINBAYAR Jambaljamts | 60 |
| 6 | CHAWCHIANGKWANG Peerapol | 64 |
| 7 | VAN DEN BERG Marijn | 73 |
| 8 | JANSE VAN RENSBURG Reinardt | 74 |
| 9 | GIBBONS Ryan | 70 |
| 11 | PEÑALVER Manuel | 67 |
| 12 | MOLENAAR Alex | 63 |
| 13 | SIRIRONNACHAI Sarawut | 61 |
| 14 | ZULKIFLI Nik Mohamad Azman | 65 |
| 15 | MOHD ZARIFF Muhammad Nur Aiman | 63 |