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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Jalabert
2
66 kgFraser
3
71 kgHunt
4
76 kgDean
5
72 kgFreire
8
63 kgClinger
10
77 kg
2
66 kgFraser
3
71 kgHunt
4
76 kgDean
5
72 kgFreire
8
63 kgClinger
10
77 kg
Weight (KG) →
Result →
77
63
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JALABERT Laurent | 66 |
| 3 | FRASER Gordon | 71 |
| 4 | HUNT Jeremy | 76 |
| 5 | DEAN Julian | 72 |
| 8 | FREIRE Óscar | 63 |
| 10 | CLINGER David | 77 |