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 = -2.2 * weight + 166
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
Steevens
2
73 kgBilić
7
76 kgTamames
11
66 kgDolman
15
71 kgHáva
40
62 kg
2
73 kgBilić
7
76 kgTamames
11
66 kgDolman
15
71 kgHáva
40
62 kg
Weight (KG) →
Result →
76
62
2
40
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STEEVENS Harry | 73 |
| 7 | BILIĆ Cvitko | 76 |
| 11 | TAMAMES Agustín | 66 |
| 15 | DOLMAN Evert | 71 |
| 40 | HÁVA Jiří | 62 |