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 - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Pitel
1
52 kgHall
2
52 kgPoidevin
3
56 kgPrieto
4
54 kgPeñuela
5
53 kgThomas
6
58 kgDuehring
7
54 kg
1
52 kgHall
2
52 kgPoidevin
3
56 kgPrieto
4
54 kgPeñuela
5
53 kgThomas
6
58 kgDuehring
7
54 kg
Weight (KG) →
Result →
58
52
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PITEL Edwige | 52 |
| 2 | HALL Katie | 52 |
| 3 | POIDEVIN Sara | 56 |
| 4 | PRIETO Marcela Elizabeth | 54 |
| 5 | PEÑUELA Diana | 53 |
| 6 | THOMAS Leah | 58 |
| 7 | DUEHRING Jasmin | 54 |