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 - 46
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Zoetemelk
1
68 kgBaronchelli
6
72 kgMaertens
11
65 kgSutter
15
70 kgRaas
19
72 kgDemierre
21
70 kg
1
68 kgBaronchelli
6
72 kgMaertens
11
65 kgSutter
15
70 kgRaas
19
72 kgDemierre
21
70 kg
Weight (KG) →
Result →
72
65
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOETEMELK Joop | 68 |
| 6 | BARONCHELLI Gianbattista | 72 |
| 11 | MAERTENS Freddy | 65 |
| 15 | SUTTER Ueli | 70 |
| 19 | RAAS Jan | 72 |
| 21 | DEMIERRE Serge | 70 |