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.
Hincapie
1
83 kgO'Grady
3
73 kgUllrich
4
73 kgHeppner
5
69 kgStephens
6
65 kgJärmann
7
73 kgNoè
10
65 kg
1
83 kgO'Grady
3
73 kgUllrich
4
73 kgHeppner
5
69 kgStephens
6
65 kgJärmann
7
73 kgNoè
10
65 kg
Weight (KG) →
Result →
83
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINCAPIE George | 83 |
| 3 | O'GRADY Stuart | 73 |
| 4 | ULLRICH Jan | 73 |
| 5 | HEPPNER Jens | 69 |
| 6 | STEPHENS Neil | 65 |
| 7 | JÄRMANN Rolf | 73 |
| 10 | NOÈ Andrea | 65 |