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 = 0.4 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Rominger
1
65 kgBreukink
2
70 kgZülle
3
72 kgZarrabeitia
5
63 kgBruyneel
6
71 kgRoche
10
74 kg
1
65 kgBreukink
2
70 kgZülle
3
72 kgZarrabeitia
5
63 kgBruyneel
6
71 kgRoche
10
74 kg
Weight (KG) →
Result →
74
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 2 | BREUKINK Erik | 70 |
| 3 | ZÜLLE Alex | 72 |
| 5 | ZARRABEITIA Mikel | 63 |
| 6 | BRUYNEEL Johan | 71 |
| 10 | ROCHE Stephen | 74 |