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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Dorn
1
74 kgMattheis
3
66 kgYiğit
5
70 kgArashiro
6
65 kgMagosaki
7
62 kgBellens
9
65 kg
1
74 kgMattheis
3
66 kgYiğit
5
70 kgArashiro
6
65 kgMagosaki
7
62 kgBellens
9
65 kg
Weight (KG) →
Result →
74
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DORN Vinzent | 74 |
| 3 | MATTHEIS Oliver | 66 |
| 5 | YIĞIT Tahir | 70 |
| 6 | ARASHIRO Yudai | 65 |
| 7 | MAGOSAKI Daiki | 62 |
| 9 | BELLENS Jarno | 65 |