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 = -0.8 * weight + 77
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOULE Hugo | 72 |
| 3 | GEE Derek | 72 |
| 4 | ROBERGE Adam | 72 |
| 6 | JUSSAUME Tristan | 70 |
| 9 | MILES Carson | 64 |
| 11 | BURKE Jack | 67 |
| 14 | MUIR Warren | 72 |
| 20 | JUNEAU Francis | 67 |
| 28 | KELLY Declan | 84 |
| 31 | CONLY Lukas | 63 |
| 35 | INKSTER Eric | 73 |
| 38 | MENEGON Nicholas | 59 |
| 40 | PLAMONDON Joel | 72 |
| 42 | RUSSELL Evan | 64 |
| 46 | OLIPHANT Aidan | 61 |