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 = 0.8 * weight - 47
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Hinault
4
62 kgRoche
9
74 kgVanderaerden
11
74 kgYates
13
74 kgKelly
19
77 kg
4
62 kgRoche
9
74 kgVanderaerden
11
74 kgYates
13
74 kgKelly
19
77 kg
Weight (KG) →
Result →
77
62
4
19
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | HINAULT Bernard | 62 |
| 9 | ROCHE Stephen | 74 |
| 11 | VANDERAERDEN Eric | 74 |
| 13 | YATES Sean | 74 |
| 19 | KELLY Sean | 77 |