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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Enrici
1
64 kgRossignoli
3
71 kgPratesi
8
74 kgUgaglia
11
61 kgMartinetto
12
84 kgRuffoni
16
74 kgSala
29
62 kg
1
64 kgRossignoli
3
71 kgPratesi
8
74 kgUgaglia
11
61 kgMartinetto
12
84 kgRuffoni
16
74 kgSala
29
62 kg
Weight (KG) →
Result →
84
61
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ENRICI Giuseppe | 64 |
| 3 | ROSSIGNOLI Giovanni | 71 |
| 8 | PRATESI Ottavio | 74 |
| 11 | UGAGLIA Luigi | 61 |
| 12 | MARTINETTO Secondo | 84 |
| 16 | RUFFONI Giuseppe | 74 |
| 29 | SALA Enrico | 62 |