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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | REEMEIJER Niels | 70 |
| 3 | JONKMANS Tom | 62 |
| 4 | KAMBERAJ Valentino | 76 |
| 5 | ILIĆ Ognjen | 86 |
| 7 | MACLEOD Callum | 57 |
| 8 | DEN OTTER Jesse | 81 |
| 11 | PARENTI Nicola | 71 |
| 12 | LUMPAROV Georgi | 75 |
| 15 | ZEGKLIS Nikolaos | 57 |
| 17 | DIVNIĆ Jovan | 64 |
| 20 | DYANKOV Nikolay | 61 |
| 21 | KARIĆ Vedad | 78 |
| 23 | DYANKOV Denis | 65 |