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 = 0.4 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Peñuela
1
53 kgLuebke
2
54 kgPitel
3
52 kgHall
4
52 kgBergen
5
64 kgPowless
9
59 kgThomas
11
58 kg
1
53 kgLuebke
2
54 kgPitel
3
52 kgHall
4
52 kgBergen
5
64 kgPowless
9
59 kgThomas
11
58 kg
Weight (KG) →
Result →
64
52
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEÑUELA Diana | 53 |
| 2 | LUEBKE Jennifer | 54 |
| 3 | PITEL Edwige | 52 |
| 4 | HALL Katie | 52 |
| 5 | BERGEN Sara | 64 |
| 9 | POWLESS Shayna | 59 |
| 11 | THOMAS Leah | 58 |