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 = 0.7 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Cogan
8
68 kgFaure
14
58 kgSoffietti
21
70 kgPipoz
23
71 kgSaladin
25
72 kg
8
68 kgFaure
14
58 kgSoffietti
21
70 kgPipoz
23
71 kgSaladin
25
72 kg
Weight (KG) →
Result →
72
58
8
25
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | COGAN Pierre | 68 |
| 14 | FAURE Benoît | 58 |
| 21 | SOFFIETTI Joseph | 70 |
| 23 | PIPOZ Roger | 71 |
| 25 | SALADIN Fritz | 72 |