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 = 0.2 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Maertens
1
65 kgPollentier
3
62 kgBracke
4
79 kgHinault
5
62 kgSchuiten
8
83 kg
1
65 kgPollentier
3
62 kgBracke
4
79 kgHinault
5
62 kgSchuiten
8
83 kg
Weight (KG) →
Result →
83
62
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 3 | POLLENTIER Michel | 62 |
| 4 | BRACKE Ferdinand | 79 |
| 5 | HINAULT Bernard | 62 |
| 8 | SCHUITEN Roy | 83 |