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 + 43
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Sivakov
1
72 kgSchnider
2
65 kgJufré
4
65 kgNozal
7
70 kgCalvente
13
55 kg
1
72 kgSchnider
2
65 kgJufré
4
65 kgNozal
7
70 kgCalvente
13
55 kg
Weight (KG) →
Result →
72
55
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIVAKOV Alexei | 72 |
| 2 | SCHNIDER Daniel | 65 |
| 4 | JUFRÉ Josep | 65 |
| 7 | NOZAL Isidro | 70 |
| 13 | CALVENTE Manuel | 55 |