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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Saarelainen
5
58 kgGonzález
6
51 kgBaur
8
56 kgSanchis
9
56 kgBloch-Davidov
22
59 kgGafinovitz
28
52 kg
5
58 kgGonzález
6
51 kgBaur
8
56 kgSanchis
9
56 kgBloch-Davidov
22
59 kgGafinovitz
28
52 kg
Weight (KG) →
Result →
59
51
5
28
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | SAARELAINEN Sari | 58 |
| 6 | GONZÁLEZ Alicia | 51 |
| 8 | BAUR Caroline | 56 |
| 9 | SANCHIS Anna | 56 |
| 22 | BLOCH-DAVIDOV Shani | 59 |
| 28 | GAFINOVITZ Rotem | 52 |