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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Fisher-Black
1
69 kgThompson
5
66 kgWatts
6
72 kgDrage
8
55 kgGilbertson
13
68 kgLiu
17
63 kg
1
69 kgThompson
5
66 kgWatts
6
72 kgDrage
8
55 kgGilbertson
13
68 kgLiu
17
63 kg
Weight (KG) →
Result →
72
55
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FISHER-BLACK Finn | 69 |
| 5 | THOMPSON Reuben | 66 |
| 6 | WATTS Kiaan | 72 |
| 8 | DRAGE Jack | 55 |
| 13 | GILBERTSON Theo | 68 |
| 17 | LIU David | 63 |