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 = 0.2 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Klöden
1
63 kgLiese
2
75 kgOzols
3
74 kgMoerenhout
4
74 kgGrabsch
5
78 kg
1
63 kgLiese
2
75 kgOzols
3
74 kgMoerenhout
4
74 kgGrabsch
5
78 kg
Weight (KG) →
Result →
78
63
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KLÖDEN Andreas | 63 |
| 2 | LIESE Thomas | 75 |
| 3 | OZOLS Dainis | 74 |
| 4 | MOERENHOUT Koos | 74 |
| 5 | GRABSCH Bert | 78 |