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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Sørensen
1
71 kgMainguenaud
2
68 kgMaignan
3
63 kgBergès
4
68 kgVeneberg
6
75 kg
1
71 kgMainguenaud
2
68 kgMaignan
3
63 kgBergès
4
68 kgVeneberg
6
75 kg
Weight (KG) →
Result →
75
63
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SØRENSEN Nicki | 71 |
| 2 | MAINGUENAUD Frédéric | 68 |
| 3 | MAIGNAN Gilles | 63 |
| 4 | BERGÈS Stéphane | 68 |
| 6 | VENEBERG Thorwald | 75 |