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 = -0.2 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
McMullen
2
61 kgPowless
3
59 kgFranz
5
52 kgStephens
6
55 kgPeñuela
7
53 kgColes-Lyster
8
61 kgClevenger
9
57 kg
2
61 kgPowless
3
59 kgFranz
5
52 kgStephens
6
55 kgPeñuela
7
53 kgColes-Lyster
8
61 kgClevenger
9
57 kg
Weight (KG) →
Result →
61
52
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MCMULLEN Rylee | 61 |
| 3 | POWLESS Shayna | 59 |
| 5 | FRANZ Heidi | 52 |
| 6 | STEPHENS Lauren | 55 |
| 7 | PEÑUELA Diana | 53 |
| 8 | COLES-LYSTER Maggie | 61 |
| 9 | CLEVENGER Erica | 57 |