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 = 1.2 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Abbott
1
52 kgHall
4
52 kgDuehring
6
54 kgVillumsen
10
59 kgStephens
15
55 kg
1
52 kgHall
4
52 kgDuehring
6
54 kgVillumsen
10
59 kgStephens
15
55 kg
Weight (KG) →
Result →
59
52
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ABBOTT Mara | 52 |
| 4 | HALL Katie | 52 |
| 6 | DUEHRING Jasmin | 54 |
| 10 | VILLUMSEN Linda | 59 |
| 15 | STEPHENS Lauren | 55 |