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.
Pidcock
2
58 kgRobinson
3
74 kgTulett
4
56 kgFlynn
5
67 kgEllis
8
61.5 kgWood
15
66 kg
2
58 kgRobinson
3
74 kgTulett
4
56 kgFlynn
5
67 kgEllis
8
61.5 kgWood
15
66 kg
Weight (KG) →
Result →
74
56
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PIDCOCK Thomas | 58 |
| 3 | ROBINSON Oliver | 74 |
| 4 | TULETT Daniel | 56 |
| 5 | FLYNN Sean | 67 |
| 8 | ELLIS Matthew | 61.5 |
| 15 | WOOD Harrison | 66 |