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 + 24
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
McNulty
1
69 kgCôté
2
74 kgBarbier
3
69 kgHernandez
4
74 kgGervais
7
72 kgVillalobos
8
66 kg
1
69 kgCôté
2
74 kgBarbier
3
69 kgHernandez
4
74 kgGervais
7
72 kgVillalobos
8
66 kg
Weight (KG) →
Result →
74
66
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCNULTY Brandon | 69 |
| 2 | CÔTÉ Pier-André | 74 |
| 3 | BARBIER Pierre | 69 |
| 4 | HERNANDEZ Michael | 74 |
| 7 | GERVAIS Laurent | 72 |
| 8 | VILLALOBOS Luis | 66 |