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 = 1.2 * weight - 79
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Bartali
1
69 kgCoppi
2
72 kgCottur
8
74 kgIntrozzi
16
75 kgBevilacqua
17
80 kgBini
23
72 kg
1
69 kgCoppi
2
72 kgCottur
8
74 kgIntrozzi
16
75 kgBevilacqua
17
80 kgBini
23
72 kg
Weight (KG) →
Result →
80
69
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARTALI Gino | 69 |
| 2 | COPPI Fausto | 72 |
| 8 | COTTUR Giordano | 74 |
| 16 | INTROZZI Augusto | 75 |
| 17 | BEVILACQUA Antonio | 80 |
| 23 | BINI Aldo | 72 |