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 = 0.1 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Saarelainen
1
58 kgBloch-Davidov
3
59 kgGafinovitz
9
52 kgGonzález
11
51 kgSanchis
12
56 kgBaur
29
56 kgShapira
30
58 kg
1
58 kgBloch-Davidov
3
59 kgGafinovitz
9
52 kgGonzález
11
51 kgSanchis
12
56 kgBaur
29
56 kgShapira
30
58 kg
Weight (KG) →
Result →
59
51
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAARELAINEN Sari | 58 |
| 3 | BLOCH-DAVIDOV Shani | 59 |
| 9 | GAFINOVITZ Rotem | 52 |
| 11 | GONZÁLEZ Alicia | 51 |
| 12 | SANCHIS Anna | 56 |
| 29 | BAUR Caroline | 56 |
| 30 | SHAPIRA Omer | 58 |