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 = -1.9 * weight + 148
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TUFT Svein | 77 |
| 3 | CATAFORD Alexander | 70 |
| 4 | ROBERGE Adam | 72 |
| 5 | ROTH Ryan | 70 |
| 8 | MUIR Warren | 72 |
| 10 | JAMIESON Adam | 75 |
| 13 | BURKE Jack | 67 |
| 14 | VANDALE Danick | 63 |
| 16 | CÔTÉ Pier-André | 74 |
| 19 | GEE Derek | 72 |
| 20 | GERVAIS Laurent | 72 |
| 22 | CHRÉTIEN Charles-Étienne | 65 |
| 27 | MEIER Christian | 61 |
| 29 | PALAMAREK Ethan | 61 |
| 34 | PICCOLI James | 65 |
| 45 | SYLVESTRE-WILLIAMS David | 69 |
| 56 | CHAN Titus | 59 |