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 = -0.5 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Vicini
3
76 kgCottur
5
74 kgBevilacqua
11
80 kgBartali
15
69 kgCoppi
16
72 kgIntrozzi
28
75 kg
3
76 kgCottur
5
74 kgBevilacqua
11
80 kgBartali
15
69 kgCoppi
16
72 kgIntrozzi
28
75 kg
Weight (KG) →
Result →
80
69
3
28
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VICINI Mario | 76 |
| 5 | COTTUR Giordano | 74 |
| 11 | BEVILACQUA Antonio | 80 |
| 15 | BARTALI Gino | 69 |
| 16 | COPPI Fausto | 72 |
| 28 | INTROZZI Augusto | 75 |