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 = 3.5 * weight - 249
This means that on average for every extra kilogram weight a rider loses 3.5 positions in the result.
Beheyt
1
71 kgPost
2
79 kgNijdam
5
75 kgVan Looy
14
73 kgVan Daele
35
78 kgHugens
52
83 kg
1
71 kgPost
2
79 kgNijdam
5
75 kgVan Looy
14
73 kgVan Daele
35
78 kgHugens
52
83 kg
Weight (KG) →
Result →
83
71
1
52
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BEHEYT Benoni | 71 |
| 2 | POST Peter | 79 |
| 5 | NIJDAM Henk | 75 |
| 14 | VAN LOOY Rik | 73 |
| 35 | VAN DAELE Leon | 78 |
| 52 | HUGENS Jan | 83 |