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.
Gough
1
71 kgFouché
2
71 kgGaze
4
80 kgBrown
10
74 kgClark
11
68 kgBatt
12
76 kgGroube
14
69 kg
1
71 kgFouché
2
71 kgGaze
4
80 kgBrown
10
74 kgClark
11
68 kgBatt
12
76 kgGroube
14
69 kg
Weight (KG) →
Result →
80
68
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOUGH Regan | 71 |
| 2 | FOUCHÉ James | 71 |
| 4 | GAZE Samuel | 80 |
| 10 | BROWN Connor | 74 |
| 11 | CLARK Boris | 68 |
| 12 | BATT Ethan | 76 |
| 14 | GROUBE Carne | 69 |