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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Elliott
2
76 kgPlanckaert
3
69 kgDe Clercq
4
66 kgMauri
11
68 kgvan der Poel
12
70 kgInduráin
14
76 kg
2
76 kgPlanckaert
3
69 kgDe Clercq
4
66 kgMauri
11
68 kgvan der Poel
12
70 kgInduráin
14
76 kg
Weight (KG) →
Result →
76
66
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ELLIOTT Malcolm | 76 |
| 3 | PLANCKAERT Eddy | 69 |
| 4 | DE CLERCQ Mario | 66 |
| 11 | MAURI Melchor | 68 |
| 12 | VAN DER POEL Adrie | 70 |
| 14 | INDURÁIN Miguel | 76 |