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 = -0.1 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Velo
1
70 kgNardello
2
74 kgJeker
3
72 kgMeier
4
69 kgBölts
5
73 kgSchnider
6
65 kgden Bakker
8
71 kgIvanov
9
73 kg
1
70 kgNardello
2
74 kgJeker
3
72 kgMeier
4
69 kgBölts
5
73 kgSchnider
6
65 kgden Bakker
8
71 kgIvanov
9
73 kg
Weight (KG) →
Result →
74
65
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELO Marco | 70 |
| 2 | NARDELLO Daniele | 74 |
| 3 | JEKER Fabian | 72 |
| 4 | MEIER Armin | 69 |
| 5 | BÖLTS Udo | 73 |
| 6 | SCHNIDER Daniel | 65 |
| 8 | DEN BAKKER Maarten | 71 |
| 9 | IVANOV Sergei | 73 |