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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Zabel
4
69 kgBaffi
5
70 kgPantani
6
58 kgBartoli
8
65 kgDomínguez
9
64 kgGualdi
11
68 kgChanteur
14
62 kg
4
69 kgBaffi
5
70 kgPantani
6
58 kgBartoli
8
65 kgDomínguez
9
64 kgGualdi
11
68 kgChanteur
14
62 kg
Weight (KG) →
Result →
70
58
4
14
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ZABEL Erik | 69 |
| 5 | BAFFI Adriano | 70 |
| 6 | PANTANI Marco | 58 |
| 8 | BARTOLI Michele | 65 |
| 9 | DOMÍNGUEZ Juan Carlos | 64 |
| 11 | GUALDI Mirko | 68 |
| 14 | CHANTEUR Pascal | 62 |