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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Kal
2
72 kgNikolaev
3
66 kgReinhardt
6
72 kgMihaylov
8
70 kgAckermann
9
78 kg
2
72 kgNikolaev
3
66 kgReinhardt
6
72 kgMihaylov
8
70 kgAckermann
9
78 kg
Weight (KG) →
Result →
78
66
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KAL Miraç | 72 |
| 3 | NIKOLAEV Sergey | 66 |
| 6 | REINHARDT Theo | 72 |
| 8 | MIHAYLOV Nikolay | 70 |
| 9 | ACKERMANN Pascal | 78 |