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 + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Burnett
1
73 kgGeary
3
71 kgJackson
5
75 kgFlanagan
9
67 kgGilbertson
10
68 kgRitchie
11
75 kg
1
73 kgGeary
3
71 kgJackson
5
75 kgFlanagan
9
67 kgGilbertson
10
68 kgRitchie
11
75 kg
Weight (KG) →
Result →
75
67
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BURNETT Josh | 73 |
| 3 | GEARY Dillon | 71 |
| 5 | JACKSON George | 75 |
| 9 | FLANAGAN Liam | 67 |
| 10 | GILBERTSON Theo | 68 |
| 11 | RITCHIE Samuel | 75 |