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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Museeuw
1
71 kgMauri
4
68 kgvan der Poel
5
70 kgSergeant
8
76 kgPagnin
12
74 kgLezaun
15
65 kg
1
71 kgMauri
4
68 kgvan der Poel
5
70 kgSergeant
8
76 kgPagnin
12
74 kgLezaun
15
65 kg
Weight (KG) →
Result →
76
65
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUSEEUW Johan | 71 |
| 4 | MAURI Melchor | 68 |
| 5 | VAN DER POEL Adrie | 70 |
| 8 | SERGEANT Marc | 76 |
| 12 | PAGNIN Roberto | 74 |
| 15 | LEZAUN Roberto | 65 |