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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Riblon
1
65 kgMengin
3
68 kgSijmens
4
69 kgRatti
6
64 kgUsov
7
63 kgLadagnous
8
73 kg
1
65 kgMengin
3
68 kgSijmens
4
69 kgRatti
6
64 kgUsov
7
63 kgLadagnous
8
73 kg
Weight (KG) →
Result →
73
63
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIBLON Christophe | 65 |
| 3 | MENGIN Christophe | 68 |
| 4 | SIJMENS Nico | 69 |
| 6 | RATTI Eddy | 64 |
| 7 | USOV Alexandre | 63 |
| 8 | LADAGNOUS Matthieu | 73 |