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 + 76
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PICKRELL Riley | 72 |
| 3 | SHEEHAN Riley | 69 |
| 12 | MAINGUENAUD Tom | 63 |
| 29 | ONODERA Kei | 63 |
| 48 | KIRBY Kyle | 70 |
| 54 | JUSSAUME Tristan | 70 |
| 60 | QUINN Sean | 67 |
| 64 | JUNEAU Francis | 67 |
| 65 | FRONER Axel | 63 |
| 68 | CARREAU Lukas | 68 |
| 73 | GILBERTSON Theo | 68 |
| 76 | TUAZON Ron Francoise | 55 |
| 88 | MILES Carson | 64 |
| 101 | SIRMAN Jack | 77 |
| 103 | RUSSELL Evan | 64 |
| 109 | VANLUXEMBORG John | 68 |