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 = -0.7 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Fisher-Black
1
69 kgBatt
2
76 kgBrown
4
74 kgThompson
6
66 kgWatts
12
72 kgFitzwater
17
67 kg
1
69 kgBatt
2
76 kgBrown
4
74 kgThompson
6
66 kgWatts
12
72 kgFitzwater
17
67 kg
Weight (KG) →
Result →
76
66
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FISHER-BLACK Finn | 69 |
| 2 | BATT Ethan | 76 |
| 4 | BROWN Connor | 74 |
| 6 | THOMPSON Reuben | 66 |
| 12 | WATTS Kiaan | 72 |
| 17 | FITZWATER Matias | 67 |