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 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Olano
1
70 kgRobin
2
63 kgSerrano
3
63 kgVandenbroucke
4
67 kgFarazijn
6
69 kgBlanco
7
66 kgFrigo
9
66 kg
1
70 kgRobin
2
63 kgSerrano
3
63 kgVandenbroucke
4
67 kgFarazijn
6
69 kgBlanco
7
66 kgFrigo
9
66 kg
Weight (KG) →
Result →
70
63
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OLANO Abraham | 70 |
| 2 | ROBIN Jean-Cyril | 63 |
| 3 | SERRANO Marcos Antonio | 63 |
| 4 | VANDENBROUCKE Frank | 67 |
| 6 | FARAZIJN Peter | 69 |
| 7 | BLANCO Santiago | 66 |
| 9 | FRIGO Dario | 66 |