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 = 0.1 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Wiebes
2
60 kgTeutenberg
3
53 kgPaladin
4
59 kgKopecky
5
66 kgDeignan
7
57 kgTacey
8
62 kg
2
60 kgTeutenberg
3
53 kgPaladin
4
59 kgKopecky
5
66 kgDeignan
7
57 kgTacey
8
62 kg
Weight (KG) →
Result →
66
53
2
8
# | Rider | Weight (KG) |
---|---|---|
2 | WIEBES Lorena | 60 |
3 | TEUTENBERG Lea Lin | 53 |
4 | PALADIN Soraya | 59 |
5 | KOPECKY Lotte | 66 |
7 | DEIGNAN Elizabeth | 57 |
8 | TACEY April | 62 |