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 = 0.5 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Lilholt
1
72 kgKelly
2
77 kgDe Wilde
3
70 kgPlanckaert
4
69 kgFignon
9
67 kgYates
12
74 kgPeeters
20
76 kg
1
72 kgKelly
2
77 kgDe Wilde
3
70 kgPlanckaert
4
69 kgFignon
9
67 kgYates
12
74 kgPeeters
20
76 kg
Weight (KG) →
Result →
77
67
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LILHOLT Søren | 72 |
| 2 | KELLY Sean | 77 |
| 3 | DE WILDE Etienne | 70 |
| 4 | PLANCKAERT Eddy | 69 |
| 9 | FIGNON Laurent | 67 |
| 12 | YATES Sean | 74 |
| 20 | PEETERS Wilfried | 76 |