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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Blijlevens
1
70 kgPetacchi
2
70 kgMillar
4
79 kgJulich
5
68 kgIvanov
7
73 kgPieri
8
78 kgRinero
10
65 kg
1
70 kgPetacchi
2
70 kgMillar
4
79 kgJulich
5
68 kgIvanov
7
73 kgPieri
8
78 kgRinero
10
65 kg
Weight (KG) →
Result →
79
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLIJLEVENS Jeroen | 70 |
| 2 | PETACCHI Alessandro | 70 |
| 4 | MILLAR David | 79 |
| 5 | JULICH Bobby | 68 |
| 7 | IVANOV Sergei | 73 |
| 8 | PIERI Dario | 78 |
| 10 | RINERO Christophe | 65 |