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 = -0.6 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Sassone
4
75 kgCretskens
5
75 kgThijs
6
69 kgMainguenaud
8
68 kgSørensen
9
71 kgDerepas
10
69 kg
4
75 kgCretskens
5
75 kgThijs
6
69 kgMainguenaud
8
68 kgSørensen
9
71 kgDerepas
10
69 kg
Weight (KG) →
Result →
75
68
4
10
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SASSONE Robert | 75 |
| 5 | CRETSKENS Wilfried | 75 |
| 6 | THIJS Erwin | 69 |
| 8 | MAINGUENAUD Frédéric | 68 |
| 9 | SØRENSEN Nicki | 71 |
| 10 | DEREPAS David | 69 |