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 - 26
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Bruyneel
1
71 kgRué
3
74 kgJalabert
5
66 kgFignon
14
67 kgLipták
20
68 kgTeteriouk
21
72 kgKonyshev
23
77 kg
1
71 kgRué
3
74 kgJalabert
5
66 kgFignon
14
67 kgLipták
20
68 kgTeteriouk
21
72 kgKonyshev
23
77 kg
Weight (KG) →
Result →
77
66
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUYNEEL Johan | 71 |
| 3 | RUÉ Gérard | 74 |
| 5 | JALABERT Laurent | 66 |
| 14 | FIGNON Laurent | 67 |
| 20 | LIPTÁK Miroslav | 68 |
| 21 | TETERIOUK Andrei | 72 |
| 23 | KONYSHEV Dmitry | 77 |