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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Teteriouk
2
72 kgFignon
5
67 kgLipták
8
68 kgBruyneel
12
71 kgRué
13
74 kgUgrumov
14
58 kg
2
72 kgFignon
5
67 kgLipták
8
68 kgBruyneel
12
71 kgRué
13
74 kgUgrumov
14
58 kg
Weight (KG) →
Result →
74
58
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TETERIOUK Andrei | 72 |
| 5 | FIGNON Laurent | 67 |
| 8 | LIPTÁK Miroslav | 68 |
| 12 | BRUYNEEL Johan | 71 |
| 13 | RUÉ Gérard | 74 |
| 14 | UGRUMOV Piotr | 58 |