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 - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Rominger
4
65 kgJalabert
5
66 kgRoche
8
74 kgBugno
9
68 kgMadiot
11
68 kgFignon
13
67 kgGayant
14
69 kgDe Wilde
15
70 kg
4
65 kgJalabert
5
66 kgRoche
8
74 kgBugno
9
68 kgMadiot
11
68 kgFignon
13
67 kgGayant
14
69 kgDe Wilde
15
70 kg
Weight (KG) →
Result →
74
65
4
15
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ROMINGER Tony | 65 |
| 5 | JALABERT Laurent | 66 |
| 8 | ROCHE Stephen | 74 |
| 9 | BUGNO Gianni | 68 |
| 11 | MADIOT Marc | 68 |
| 13 | FIGNON Laurent | 67 |
| 14 | GAYANT Martial | 69 |
| 15 | DE WILDE Etienne | 70 |