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 = 2.8 * weight - 184
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
Coppi
1
72 kgBartali
2
69 kgCottur
3
74 kgSimonini
13
66 kgCerami
24
72 kgBevilacqua
40
80 kgServadei
48
80 kg
1
72 kgBartali
2
69 kgCottur
3
74 kgSimonini
13
66 kgCerami
24
72 kgBevilacqua
40
80 kgServadei
48
80 kg
Weight (KG) →
Result →
80
66
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COPPI Fausto | 72 |
| 2 | BARTALI Gino | 69 |
| 3 | COTTUR Giordano | 74 |
| 13 | SIMONINI Settimo | 66 |
| 24 | CERAMI Pino | 72 |
| 40 | BEVILACQUA Antonio | 80 |
| 48 | SERVADEI Glauco | 80 |