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 = 0.8 * weight - 43
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Madouas
5
70 kgBruyneel
6
71 kgSunderland
7
65 kgWeltz
10
65 kgMoreau
18
77 kgRiis
20
71 kg
5
70 kgBruyneel
6
71 kgSunderland
7
65 kgWeltz
10
65 kgMoreau
18
77 kgRiis
20
71 kg
Weight (KG) →
Result →
77
65
5
20
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MADOUAS Laurent | 70 |
| 6 | BRUYNEEL Johan | 71 |
| 7 | SUNDERLAND Scott | 65 |
| 10 | WELTZ Johnny | 65 |
| 18 | MOREAU Francis | 77 |
| 20 | RIIS Bjarne | 71 |