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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Maertens
1
65 kgRaas
3
72 kgMerckx
4
74 kgHinault
8
62 kgSchuiten
11
83 kgPollentier
12
62 kgPriem
15
75 kg
1
65 kgRaas
3
72 kgMerckx
4
74 kgHinault
8
62 kgSchuiten
11
83 kgPollentier
12
62 kgPriem
15
75 kg
Weight (KG) →
Result →
83
62
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 3 | RAAS Jan | 72 |
| 4 | MERCKX Eddy | 74 |
| 8 | HINAULT Bernard | 62 |
| 11 | SCHUITEN Roy | 83 |
| 12 | POLLENTIER Michel | 62 |
| 15 | PRIEM Cees | 75 |