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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Franz
3
52 kgColes-Lyster
4
61 kgPoidevin
11
56 kgClevenger
13
57 kgStephens
15
55 kg
3
52 kgColes-Lyster
4
61 kgPoidevin
11
56 kgClevenger
13
57 kgStephens
15
55 kg
Weight (KG) →
Result →
61
52
3
15
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FRANZ Heidi | 52 |
| 4 | COLES-LYSTER Maggie | 61 |
| 11 | POIDEVIN Sara | 56 |
| 13 | CLEVENGER Erica | 57 |
| 15 | STEPHENS Lauren | 55 |