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 = 1.1 * weight - 70
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
De Clercq
2
66 kgPlanckaert
5
70 kgFarazijn
6
69 kgDe Wilde
12
70 kgBoardman
14
70 kgMoreau
15
77 kg
2
66 kgPlanckaert
5
70 kgFarazijn
6
69 kgDe Wilde
12
70 kgBoardman
14
70 kgMoreau
15
77 kg
Weight (KG) →
Result →
77
66
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE CLERCQ Mario | 66 |
| 5 | PLANCKAERT Jo | 70 |
| 6 | FARAZIJN Peter | 69 |
| 12 | DE WILDE Etienne | 70 |
| 14 | BOARDMAN Chris | 70 |
| 15 | MOREAU Francis | 77 |