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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Rominger
1
65 kgZülle
2
72 kgZarrabeitia
7
63 kgDelgado
8
64 kgBreukink
11
70 kgAlonso
13
70 kgMauri
14
68 kg
1
65 kgZülle
2
72 kgZarrabeitia
7
63 kgDelgado
8
64 kgBreukink
11
70 kgAlonso
13
70 kgMauri
14
68 kg
Weight (KG) →
Result →
72
63
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 2 | ZÜLLE Alex | 72 |
| 7 | ZARRABEITIA Mikel | 63 |
| 8 | DELGADO Pedro | 64 |
| 11 | BREUKINK Erik | 70 |
| 13 | ALONSO Marino | 70 |
| 14 | MAURI Melchor | 68 |