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 * weight - 61
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Madouas
3
70 kgRobin
5
63 kgEkimov
6
69 kgStephens
9
65 kgImboden
10
70 kgJeker
13
72 kgde Vries
17
75 kgRué
19
74 kg
3
70 kgRobin
5
63 kgEkimov
6
69 kgStephens
9
65 kgImboden
10
70 kgJeker
13
72 kgde Vries
17
75 kgRué
19
74 kg
Weight (KG) →
Result →
75
63
3
19
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MADOUAS Laurent | 70 |
| 5 | ROBIN Jean-Cyril | 63 |
| 6 | EKIMOV Viatcheslav | 69 |
| 9 | STEPHENS Neil | 65 |
| 10 | IMBODEN Heinz | 70 |
| 13 | JEKER Fabian | 72 |
| 17 | DE VRIES Gerrit | 75 |
| 19 | RUÉ Gérard | 74 |