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 - 45
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Heirweg
2
73 kgSchepers
3
60 kgPollentier
5
62 kgVan Looy
10
75 kgDierickx
12
74 kgRosiers
25
78 kg
2
73 kgSchepers
3
60 kgPollentier
5
62 kgVan Looy
10
75 kgDierickx
12
74 kgRosiers
25
78 kg
Weight (KG) →
Result →
78
60
2
25
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HEIRWEG Dirk | 73 |
| 3 | SCHEPERS Eddy | 60 |
| 5 | POLLENTIER Michel | 62 |
| 10 | VAN LOOY Frans | 75 |
| 12 | DIERICKX André | 74 |
| 25 | ROSIERS Roger | 78 |