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 = 0.2 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Whitehouse
1
58 kgHill
2
67 kgSuzuki
3
58 kgGuardiola
6
65 kgCrawford
7
59 kgLebas
8
65 kg
1
58 kgHill
2
67 kgSuzuki
3
58 kgGuardiola
6
65 kgCrawford
7
59 kgLebas
8
65 kg
Weight (KG) →
Result →
67
58
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WHITEHOUSE Daniel | 58 |
| 2 | HILL Benjamin | 67 |
| 3 | SUZUKI Ryu | 58 |
| 6 | GUARDIOLA Salvador | 65 |
| 7 | CRAWFORD Jai | 59 |
| 8 | LEBAS Thomas | 65 |