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 + 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Eklund
3
58 kgVieceli
4
59 kgNilsson
11
58 kgMeakin
25
67 kgBroughton
35
60 kgHayes
36
55 kg
3
58 kgVieceli
4
59 kgNilsson
11
58 kgMeakin
25
67 kgBroughton
35
60 kgHayes
36
55 kg
Weight (KG) →
Result →
67
55
3
36
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | EKLUND Nathalie | 58 |
| 4 | VIECELI Lara | 59 |
| 11 | NILSSON Hanna | 58 |
| 25 | MEAKIN Emily | 67 |
| 35 | BROUGHTON Charlotte | 60 |
| 36 | HAYES Connie | 55 |