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 = 0.6 * weight - 40
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Smetanine
1
69 kgGuidi
6
73 kgEtxebarria
7
68 kgOlano
8
70 kgGontchenkov
10
74 kg
1
69 kgGuidi
6
73 kgEtxebarria
7
68 kgOlano
8
70 kgGontchenkov
10
74 kg
Weight (KG) →
Result →
74
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SMETANINE Serguei | 69 |
| 6 | GUIDI Fabrizio | 73 |
| 7 | ETXEBARRIA Unai | 68 |
| 8 | OLANO Abraham | 70 |
| 10 | GONTCHENKOV Alexander | 74 |