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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Diaz
1
55 kgZberg
2
69 kgBlanco
3
66 kgFrigo
4
66 kgEtxebarria
5
55 kgOlano
7
70 kgDierckxsens
9
71 kgSerrano
10
63 kg
1
55 kgZberg
2
69 kgBlanco
3
66 kgFrigo
4
66 kgEtxebarria
5
55 kgOlano
7
70 kgDierckxsens
9
71 kgSerrano
10
63 kg
Weight (KG) →
Result →
71
55
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIAZ Rafael | 55 |
| 2 | ZBERG Markus | 69 |
| 3 | BLANCO Santiago | 66 |
| 4 | FRIGO Dario | 66 |
| 5 | ETXEBARRIA David | 55 |
| 7 | OLANO Abraham | 70 |
| 9 | DIERCKXSENS Ludo | 71 |
| 10 | SERRANO Marcos Antonio | 63 |