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 - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Stedman
1
54 kgVinokurov
2
65 kgSchunk
3
65 kgWang
4
70 kgMarchand
5
61 kgKuzmin
6
66 kgVinokurov
10
66 kg
1
54 kgVinokurov
2
65 kgSchunk
3
65 kgWang
4
70 kgMarchand
5
61 kgKuzmin
6
66 kgVinokurov
10
66 kg
Weight (KG) →
Result →
70
54
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEDMAN Maximilian | 54 |
| 2 | VINOKUROV Nicolas | 65 |
| 3 | SCHUNK Conor | 65 |
| 4 | WANG Gustav | 70 |
| 5 | MARCHAND Gianni | 61 |
| 6 | KUZMIN Anton | 66 |
| 10 | VINOKUROV Alexandre | 66 |