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 - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Lunghi
2
61 kgScarponi
3
62 kgIvanov
4
71 kgVanotti
5
70 kgMasciarelli
6
61 kgBossoni
7
62 kgMurn
8
70 kg
2
61 kgScarponi
3
62 kgIvanov
4
71 kgVanotti
5
70 kgMasciarelli
6
61 kgBossoni
7
62 kgMurn
8
70 kg
Weight (KG) →
Result →
71
61
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LUNGHI Denis | 61 |
| 3 | SCARPONI Michele | 62 |
| 4 | IVANOV Ruslan | 71 |
| 5 | VANOTTI Alessandro | 70 |
| 6 | MASCIARELLI Andrea | 61 |
| 7 | BOSSONI Paolo | 62 |
| 8 | MURN Uroš | 70 |