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 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
de Bonis
2
66 kgRenev
3
68 kgTaborre
7
66 kgClarke
8
63 kgBates
16
61 kgWurf
18
71 kg
2
66 kgRenev
3
68 kgTaborre
7
66 kgClarke
8
63 kgBates
16
61 kgWurf
18
71 kg
Weight (KG) →
Result →
71
61
2
18
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE BONIS Francesco | 66 |
| 3 | RENEV Sergey | 68 |
| 7 | TABORRE Fabio | 66 |
| 8 | CLARKE Simon | 63 |
| 16 | BATES Gene | 61 |
| 18 | WURF Cameron | 71 |