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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Roth
1
70 kgDyball
2
63 kgMeijers
4
68 kgNakajima
5
64 kgUchima
7
63 kgCavanagh
8
72 kg
1
70 kgDyball
2
63 kgMeijers
4
68 kgNakajima
5
64 kgUchima
7
63 kgCavanagh
8
72 kg
Weight (KG) →
Result →
72
63
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROTH Ryan | 70 |
| 2 | DYBALL Benjamin | 63 |
| 4 | MEIJERS Jeroen | 68 |
| 5 | NAKAJIMA Yasuharu | 64 |
| 7 | UCHIMA Kohei | 63 |
| 8 | CAVANAGH Ryan | 72 |