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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Zanini
1
80 kgTchmil
2
75 kgHamburger
4
58 kgPiccoli
12
64 kgBramati
14
72 kgPoli
16
87 kg
1
80 kgTchmil
2
75 kgHamburger
4
58 kgPiccoli
12
64 kgBramati
14
72 kgPoli
16
87 kg
Weight (KG) →
Result →
87
58
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZANINI Stefano | 80 |
| 2 | TCHMIL Andrei | 75 |
| 4 | HAMBURGER Bo | 58 |
| 12 | PICCOLI Mariano | 64 |
| 14 | BRAMATI Davide | 72 |
| 16 | POLI Eros | 87 |