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 + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Milesi
1
78 kgJalabert
3
66 kgFondriest
5
70 kgTchmil
6
75 kgBlanco
7
66 kgVierhouten
9
71 kgPeña
10
65 kg
1
78 kgJalabert
3
66 kgFondriest
5
70 kgTchmil
6
75 kgBlanco
7
66 kgVierhouten
9
71 kgPeña
10
65 kg
Weight (KG) →
Result →
78
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MILESI Marco | 78 |
| 3 | JALABERT Laurent | 66 |
| 5 | FONDRIEST Maurizio | 70 |
| 6 | TCHMIL Andrei | 75 |
| 7 | BLANCO Santiago | 66 |
| 9 | VIERHOUTEN Aart | 71 |
| 10 | PEÑA Victor Hugo | 65 |