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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Koerts
1
78 kgO'Grady
2
73 kgEeckhout
3
73 kgChristensen
4
66 kgHayman
5
78 kgLjungqvist
8
73 kg
1
78 kgO'Grady
2
73 kgEeckhout
3
73 kgChristensen
4
66 kgHayman
5
78 kgLjungqvist
8
73 kg
Weight (KG) →
Result →
78
66
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOERTS Jans | 78 |
| 2 | O'GRADY Stuart | 73 |
| 3 | EECKHOUT Niko | 73 |
| 4 | CHRISTENSEN Bekim Leif | 66 |
| 5 | HAYMAN Mathew | 78 |
| 8 | LJUNGQVIST Marcus | 73 |