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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Blanco
1
66 kgRominger
2
65 kgOlano
3
70 kgRiis
4
71 kgEscartín
5
61 kgDiaz
7
55 kgLópez de Munain
8
65 kg
1
66 kgRominger
2
65 kgOlano
3
70 kgRiis
4
71 kgEscartín
5
61 kgDiaz
7
55 kgLópez de Munain
8
65 kg
Weight (KG) →
Result →
71
55
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLANCO Santiago | 66 |
| 2 | ROMINGER Tony | 65 |
| 3 | OLANO Abraham | 70 |
| 4 | RIIS Bjarne | 71 |
| 5 | ESCARTÍN Fernando | 61 |
| 7 | DIAZ Rafael | 55 |
| 8 | LÓPEZ DE MUNAIN Alberto | 65 |