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 - 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Earley
10
62 kgWampers
12
82 kgDe Clercq
16
66 kgPeeters
21
76 kgKelly
25
77 kg
10
62 kgWampers
12
82 kgDe Clercq
16
66 kgPeeters
21
76 kgKelly
25
77 kg
Weight (KG) →
Result →
82
62
10
25
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | EARLEY Martin | 62 |
| 12 | WAMPERS Jean-Marie | 82 |
| 16 | DE CLERCQ Mario | 66 |
| 21 | PEETERS Wilfried | 76 |
| 25 | KELLY Sean | 77 |