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 = 0.6 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Abbott
1
52 kgHall
2
52 kgPoidevin
3
56 kgArmstrong
4
58 kgDuehring
7
54 kgVillumsen
8
59 kgStephens
11
55 kg
1
52 kgHall
2
52 kgPoidevin
3
56 kgArmstrong
4
58 kgDuehring
7
54 kgVillumsen
8
59 kgStephens
11
55 kg
Weight (KG) →
Result →
59
52
1
11
# | Rider | Weight (KG) |
---|---|---|
1 | ABBOTT Mara | 52 |
2 | HALL Katie | 52 |
3 | POIDEVIN Sara | 56 |
4 | ARMSTRONG Kristin | 58 |
7 | DUEHRING Jasmin | 54 |
8 | VILLUMSEN Linda | 59 |
11 | STEPHENS Lauren | 55 |