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 = 1.6 * weight - 83
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Earley
10
62 kgGayant
12
69 kgJalabert
29
66 kgKelly
35
77 kgRoche
36
74 kgRué
45
74 kgMadiot
46
68 kg
10
62 kgGayant
12
69 kgJalabert
29
66 kgKelly
35
77 kgRoche
36
74 kgRué
45
74 kgMadiot
46
68 kg
Weight (KG) →
Result →
77
62
10
46
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | EARLEY Martin | 62 |
| 12 | GAYANT Martial | 69 |
| 29 | JALABERT Laurent | 66 |
| 35 | KELLY Sean | 77 |
| 36 | ROCHE Stephen | 74 |
| 45 | RUÉ Gérard | 74 |
| 46 | MADIOT Marc | 68 |