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 - 22
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Marie
3
68 kgFignon
6
67 kgBalboa
22
66 kgSaronni
25
65 kgMurguialday
28
58 kgPieters
35
82 kgRiis
52
71 kg
3
68 kgFignon
6
67 kgBalboa
22
66 kgSaronni
25
65 kgMurguialday
28
58 kgPieters
35
82 kgRiis
52
71 kg
Weight (KG) →
Result →
82
58
3
52
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MARIE Thierry | 68 |
| 6 | FIGNON Laurent | 67 |
| 22 | BALBOA Antonio | 66 |
| 25 | SARONNI Giuseppe | 65 |
| 28 | MURGUIALDAY Javier | 58 |
| 35 | PIETERS Peter | 82 |
| 52 | RIIS Bjarne | 71 |