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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Bonnet
1
63 kgDeweirdt
3
69 kgThomas
5
61 kgWyseure
6
70 kgHohmann
7
73 kg
1
63 kgDeweirdt
3
69 kgThomas
5
61 kgWyseure
6
70 kgHohmann
7
73 kg
Weight (KG) →
Result →
73
61
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BONNET Theo | 63 |
| 3 | DEWEIRDT Siebe | 69 |
| 5 | THOMAS Théo | 61 |
| 6 | WYSEURE Joran | 70 |
| 7 | HOHMANN Lars | 73 |