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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Breschel
1
70 kgRoy
3
70 kgGoesinnen
5
75 kgScheuneman
8
75 kgSørensen
9
64 kgDekker
10
69 kgMorabito
21
74 kg
1
70 kgRoy
3
70 kgGoesinnen
5
75 kgScheuneman
8
75 kgSørensen
9
64 kgDekker
10
69 kgMorabito
21
74 kg
Weight (KG) →
Result →
75
64
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRESCHEL Matti | 70 |
| 3 | ROY Jérémy | 70 |
| 5 | GOESINNEN Floris | 75 |
| 8 | SCHEUNEMAN Niels | 75 |
| 9 | SØRENSEN Chris Anker | 64 |
| 10 | DEKKER Thomas | 69 |
| 21 | MORABITO Steve | 74 |