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 + 40
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Pieters
1
58 kgKitchen
3
60 kgArys
4
60 kgRamsden
5
62 kgKirchmann
6
59 kgvan der Breggen
7
56 kgMartin
10
57 kg
1
58 kgKitchen
3
60 kgArys
4
60 kgRamsden
5
62 kgKirchmann
6
59 kgvan der Breggen
7
56 kgMartin
10
57 kg
Weight (KG) →
Result →
62
56
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIETERS Amy | 58 |
| 3 | KITCHEN Lauren | 60 |
| 4 | ARYS Evelyn | 60 |
| 5 | RAMSDEN Denise | 62 |
| 6 | KIRCHMANN Leah | 59 |
| 7 | VAN DER BREGGEN Anna | 56 |
| 10 | MARTIN Lucy | 57 |