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 = -0.3 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Fraser
1
71 kgFreire
2
63 kgHunt
3
76 kgDean
4
72 kgEtxebarria
9
68 kgEtxebarria
10
55 kg
1
71 kgFreire
2
63 kgHunt
3
76 kgDean
4
72 kgEtxebarria
9
68 kgEtxebarria
10
55 kg
Weight (KG) →
Result →
76
55
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRASER Gordon | 71 |
| 2 | FREIRE Óscar | 63 |
| 3 | HUNT Jeremy | 76 |
| 4 | DEAN Julian | 72 |
| 9 | ETXEBARRIA Unai | 68 |
| 10 | ETXEBARRIA David | 55 |