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 = -0.8 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Saarelainen
2
58 kgBloch-Davidov
3
59 kgSanchis
9
56 kgGafinovitz
10
52 kgGonzález
14
51 kgShapira
15
58 kgBaur
23
56 kg
2
58 kgBloch-Davidov
3
59 kgSanchis
9
56 kgGafinovitz
10
52 kgGonzález
14
51 kgShapira
15
58 kgBaur
23
56 kg
Weight (KG) →
Result →
59
51
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SAARELAINEN Sari | 58 |
| 3 | BLOCH-DAVIDOV Shani | 59 |
| 9 | SANCHIS Anna | 56 |
| 10 | GAFINOVITZ Rotem | 52 |
| 14 | GONZÁLEZ Alicia | 51 |
| 15 | SHAPIRA Omer | 58 |
| 23 | BAUR Caroline | 56 |