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 = 0.5 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Wiggins
1
76 kgFroome
2
68 kgThomas
3
71 kgTennant
7
82 kgHayles
11
80 kg
1
76 kgFroome
2
68 kgThomas
3
71 kgTennant
7
82 kgHayles
11
80 kg
Weight (KG) →
Result →
82
68
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIGGINS Bradley | 76 |
| 2 | FROOME Chris | 68 |
| 3 | THOMAS Geraint | 71 |
| 7 | TENNANT Andrew | 82 |
| 11 | HAYLES Robert | 80 |