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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Eddy
3
79 kgMacKellar
6
69 kgSens
7
71 kgKæmpe
10
59 kgHopkins
12
74 kgBarnhill
20
64 kgLynch
31
73 kg
3
79 kgMacKellar
6
69 kgSens
7
71 kgKæmpe
10
59 kgHopkins
12
74 kgBarnhill
20
64 kgLynch
31
73 kg
Weight (KG) →
Result →
79
59
3
31
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | EDDY Patrick | 79 |
| 6 | MACKELLAR Alastair | 69 |
| 7 | SENS Connor | 71 |
| 10 | KÆMPE Stinus Bjerring | 59 |
| 12 | HOPKINS Dylan | 74 |
| 20 | BARNHILL Zac | 64 |
| 31 | LYNCH Tom | 73 |