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 = -2.9 * weight + 214
This means that on average for every extra kilogram weight a rider loses -2.9 positions in the result.
Baldie
4
68 kgGravelle
13
62 kgAtkins
26
68 kgO'Brien
41
59 kgCrook
53
62 kg
4
68 kgGravelle
13
62 kgAtkins
26
68 kgO'Brien
41
59 kgCrook
53
62 kg
Weight (KG) →
Result →
68
59
4
53
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BALDIE Jack | 68 |
| 13 | GRAVELLE Rory | 62 |
| 26 | ATKINS Leon | 68 |
| 41 | O'BRIEN Finn | 59 |
| 53 | CROOK Cameron | 62 |