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 = 0.6 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Gianetti
5
62 kgRobin
12
63 kgPeeters
14
76 kgWalton
17
68 kgBourguignon
19
72 kg
5
62 kgRobin
12
63 kgPeeters
14
76 kgWalton
17
68 kgBourguignon
19
72 kg
Weight (KG) →
Result →
76
62
5
19
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GIANETTI Mauro | 62 |
| 12 | ROBIN Jean-Cyril | 63 |
| 14 | PEETERS Wilfried | 76 |
| 17 | WALTON Brian | 68 |
| 19 | BOURGUIGNON Thierry | 72 |