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 = 0.6 * weight - 40
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Demierre
1
70 kgVerstrepen
4
66 kgSvorada
8
76 kgCapelle
9
73 kgCipollini
10
77 kg
1
70 kgVerstrepen
4
66 kgSvorada
8
76 kgCapelle
9
73 kgCipollini
10
77 kg
Weight (KG) →
Result →
77
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEMIERRE Serge | 70 |
| 4 | VERSTREPEN Johan | 66 |
| 8 | SVORADA Ján | 76 |
| 9 | CAPELLE Christophe | 73 |
| 10 | CIPOLLINI Mario | 77 |