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 + 72
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TUFT Svein | 77 |
| 3 | ROBERGE Adam | 72 |
| 4 | GEE Derek | 72 |
| 5 | BURKE Jack | 67 |
| 8 | PICCOLI James | 65 |
| 12 | CHRÉTIEN Charles-Étienne | 65 |
| 14 | GERVAIS Laurent | 72 |
| 18 | PALAMAREK Ethan | 61 |
| 20 | MILES Carson | 64 |
| 28 | FOLEY Michael | 72 |
| 30 | JAMIESON Adam | 75 |
| 35 | JUNEAU Francis | 67 |
| 38 | CHAN Titus | 59 |