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 - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Fondriest
1
70 kgKonyshev
2
77 kgBaronchelli
3
72 kgLelli
4
69 kgGavazzi
10
67 kgTchmil
24
75 kg
1
70 kgKonyshev
2
77 kgBaronchelli
3
72 kgLelli
4
69 kgGavazzi
10
67 kgTchmil
24
75 kg
Weight (KG) →
Result →
77
67
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONDRIEST Maurizio | 70 |
| 2 | KONYSHEV Dmitry | 77 |
| 3 | BARONCHELLI Gianbattista | 72 |
| 4 | LELLI Massimiliano | 69 |
| 10 | GAVAZZI Pierino | 67 |
| 24 | TCHMIL Andrei | 75 |