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 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Piemontesi
4
61 kgCapelli
8
78 kgCanuti
10
68 kgGołaś
13
65 kgStortoni
16
59 kgSolomennikov
19
72 kgDi Battista
21
68 kg
4
61 kgCapelli
8
78 kgCanuti
10
68 kgGołaś
13
65 kgStortoni
16
59 kgSolomennikov
19
72 kgDi Battista
21
68 kg
Weight (KG) →
Result →
78
59
4
21
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | PIEMONTESI Fabrice | 61 |
| 8 | CAPELLI Ermano | 78 |
| 10 | CANUTI Federico | 68 |
| 13 | GOŁAŚ Michał | 65 |
| 16 | STORTONI Simone | 59 |
| 19 | SOLOMENNIKOV Andrei | 72 |
| 21 | DI BATTISTA Antonio | 68 |