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 = -1.5 * weight + 95
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Saarelainen
2
58 kgBloch-Davidov
3
59 kgSanchis
8
56 kgGafinovitz
13
52 kgGonzález
16
51 kgBaur
19
56 kg
2
58 kgBloch-Davidov
3
59 kgSanchis
8
56 kgGafinovitz
13
52 kgGonzález
16
51 kgBaur
19
56 kg
Weight (KG) →
Result →
59
51
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SAARELAINEN Sari | 58 |
| 3 | BLOCH-DAVIDOV Shani | 59 |
| 8 | SANCHIS Anna | 56 |
| 13 | GAFINOVITZ Rotem | 52 |
| 16 | GONZÁLEZ Alicia | 51 |
| 19 | BAUR Caroline | 56 |