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.
Mitchell
1
70 kgO'Neill
2
72 kgMiller
4
72 kgZamana
12
74 kgLunghi
13
61 kgGlasner
15
72 kg
1
70 kgO'Neill
2
72 kgMiller
4
72 kgZamana
12
74 kgLunghi
13
61 kgGlasner
15
72 kg
Weight (KG) →
Result →
74
61
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MITCHELL Glen | 70 |
| 2 | O'NEILL Nathan | 72 |
| 4 | MILLER Graeme | 72 |
| 12 | ZAMANA Cezary | 74 |
| 13 | LUNGHI Denis | 61 |
| 15 | GLASNER Björn | 72 |