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 = 1.3 * weight - 39
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHEEHAN Riley | 69 |
| 6 | QUINN Sean | 67 |
| 7 | MAINGUENAUD Tom | 63 |
| 13 | JUSSAUME Tristan | 70 |
| 27 | ONODERA Kei | 63 |
| 29 | GILBERTSON Theo | 68 |
| 40 | KIRBY Kyle | 70 |
| 42 | TUAZON Ron Francoise | 55 |
| 44 | JUNEAU Francis | 67 |
| 53 | PICKRELL Riley | 72 |
| 62 | FRONER Axel | 63 |
| 67 | MILES Carson | 64 |
| 74 | CARREAU Lukas | 68 |
| 89 | RUSSELL Evan | 64 |
| 100 | SIRMAN Jack | 77 |
| 103 | VANLUXEMBORG John | 68 |