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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CÔTÉ Pier-André | 74 |
| 2 | OLIVEIRA Rui | 66 |
| 3 | MURPHY John | 81 |
| 4 | PUTT Tanner | 75 |
| 6 | MILÁN Diego | 67 |
| 8 | RATHE Jacob | 74 |
| 11 | PERRY Benjamin | 71 |
| 14 | GRANIGAN Noah | 76 |
| 15 | GERVAIS Laurent | 72 |
| 16 | CHRÉTIEN Charles-Étienne | 65 |
| 19 | GARRISON Ian | 76 |