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 + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Formolo
3
62 kgTonelli
5
64 kgFonzi
6
63 kgGroen
12
70.5 kgMcCarthy
13
63 kgManfredi
15
54 kgOlivier
19
64 kgSenni
20
60 kg
3
62 kgTonelli
5
64 kgFonzi
6
63 kgGroen
12
70.5 kgMcCarthy
13
63 kgManfredi
15
54 kgOlivier
19
64 kgSenni
20
60 kg
Weight (KG) →
Result →
70.5
54
3
20
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FORMOLO Davide | 62 |
| 5 | TONELLI Alessandro | 64 |
| 6 | FONZI Giuseppe | 63 |
| 12 | GROEN Ike | 70.5 |
| 13 | MCCARTHY Jay | 63 |
| 15 | MANFREDI Andrea | 54 |
| 19 | OLIVIER Daan | 64 |
| 20 | SENNI Manuel | 60 |