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 = 1.9 * weight - 119
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Coppi
2
72 kgBartali
5
69 kgSimonini
16
66 kgVicini
16
76 kgIntrozzi
48
75 kg
2
72 kgBartali
5
69 kgSimonini
16
66 kgVicini
16
76 kgIntrozzi
48
75 kg
Weight (KG) →
Result →
76
66
2
48
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | COPPI Fausto | 72 |
| 5 | BARTALI Gino | 69 |
| 16 | SIMONINI Settimo | 66 |
| 16 | VICINI Mario | 76 |
| 48 | INTROZZI Augusto | 75 |