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 = 0.5 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Knaven
1
68 kgMagnusson
2
70 kgManning
3
76 kgBlijlevens
4
70 kgHayles
9
80 kg
1
68 kgMagnusson
2
70 kgManning
3
76 kgBlijlevens
4
70 kgHayles
9
80 kg
Weight (KG) →
Result →
80
68
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KNAVEN Servais | 68 |
| 2 | MAGNUSSON Glenn | 70 |
| 3 | MANNING Paul | 76 |
| 4 | BLIJLEVENS Jeroen | 70 |
| 9 | HAYLES Robert | 80 |