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 - 55
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Sunderland
2
65 kgWeltz
5
65 kgCapelle
11
73 kgVerstrepen
12
66 kgBruyneel
13
71 kgDe Clercq
17
66 kgMoncassin
20
73 kg
2
65 kgWeltz
5
65 kgCapelle
11
73 kgVerstrepen
12
66 kgBruyneel
13
71 kgDe Clercq
17
66 kgMoncassin
20
73 kg
Weight (KG) →
Result →
73
65
2
20
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SUNDERLAND Scott | 65 |
| 5 | WELTZ Johnny | 65 |
| 11 | CAPELLE Christophe | 73 |
| 12 | VERSTREPEN Johan | 66 |
| 13 | BRUYNEEL Johan | 71 |
| 17 | DE CLERCQ Mario | 66 |
| 20 | MONCASSIN Frédéric | 73 |