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 = -0.9 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Misyurina
1
64 kgMejías
2
60 kgStephens
3
55 kgPowless
9
59 kgZabelinskaya
10
52 kgPoidevin
11
56 kgPrieto
15
54 kg
1
64 kgMejías
2
60 kgStephens
3
55 kgPowless
9
59 kgZabelinskaya
10
52 kgPoidevin
11
56 kgPrieto
15
54 kg
Weight (KG) →
Result →
64
52
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MISYURINA Margarita | 64 |
| 2 | MEJÍAS Marlies | 60 |
| 3 | STEPHENS Lauren | 55 |
| 9 | POWLESS Shayna | 59 |
| 10 | ZABELINSKAYA Olga | 52 |
| 11 | POIDEVIN Sara | 56 |
| 15 | PRIETO Marcela Elizabeth | 54 |