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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STITES Tyler | 60 |
| 5 | INKSTER Eric | 73 |
| 6 | MCDUNPHY Conn | 70 |
| 8 | BURNETT Josh | 73 |
| 10 | GERVAIS Laurent | 72 |
| 11 | BICKMORE Cade | 74 |
| 12 | HAUG Kieran | 67 |
| 14 | MILES Carson | 64 |
| 18 | CHRÉTIEN Charles-Étienne | 65 |
| 20 | VERHOEFF Stefan | 76 |