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 = 0.5 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Franz
4
52 kgPeñuela
6
53 kgColes-Lyster
7
61 kgClevenger
10
57 kgPowless
11
59 kg
4
52 kgPeñuela
6
53 kgColes-Lyster
7
61 kgClevenger
10
57 kgPowless
11
59 kg
Weight (KG) →
Result →
61
52
4
11
# | Rider | Weight (KG) |
---|---|---|
4 | FRANZ Heidi | 52 |
6 | PEÑUELA Diana | 53 |
7 | COLES-LYSTER Maggie | 61 |
10 | CLEVENGER Erica | 57 |
11 | POWLESS Shayna | 59 |