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 = 0.7 * weight - 41
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Duclos-Lassalle
2
73 kgFignon
4
67 kgBaronchelli
9
72 kgSwart
12
74 kg
2
73 kgFignon
4
67 kgBaronchelli
9
72 kgSwart
12
74 kg
Weight (KG) →
Result →
74
67
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DUCLOS-LASSALLE Gilbert | 73 |
| 4 | FIGNON Laurent | 67 |
| 9 | BARONCHELLI Gianbattista | 72 |
| 12 | SWART Steve | 74 |