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 = -0.4 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Kelly
2
77 kgEarley
5
62 kgDuclos-Lassalle
6
73 kgRoche
7
74 kgvan der Poel
8
70 kgImboden
10
70 kgWeltz
14
65 kg
2
77 kgEarley
5
62 kgDuclos-Lassalle
6
73 kgRoche
7
74 kgvan der Poel
8
70 kgImboden
10
70 kgWeltz
14
65 kg
Weight (KG) →
Result →
77
62
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KELLY Sean | 77 |
| 5 | EARLEY Martin | 62 |
| 6 | DUCLOS-LASSALLE Gilbert | 73 |
| 7 | ROCHE Stephen | 74 |
| 8 | VAN DER POEL Adrie | 70 |
| 10 | IMBODEN Heinz | 70 |
| 14 | WELTZ Johnny | 65 |