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 = -0.2 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Maertens
1
65 kgRaas
3
72 kgMerckx
13
74 kgKelly
16
77 kgHinault
17
62 kgPollentier
24
62 kgPoulidor
25
71 kg
1
65 kgRaas
3
72 kgMerckx
13
74 kgKelly
16
77 kgHinault
17
62 kgPollentier
24
62 kgPoulidor
25
71 kg
Weight (KG) →
Result →
77
62
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 3 | RAAS Jan | 72 |
| 13 | MERCKX Eddy | 74 |
| 16 | KELLY Sean | 77 |
| 17 | HINAULT Bernard | 62 |
| 24 | POLLENTIER Michel | 62 |
| 25 | POULIDOR Raymond | 71 |