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 = 0.9 * weight - 51
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Hinault
1
62 kgWechselberger
7
71 kgDemierre
10
70 kgPrim
11
76 kgGayant
16
69 kgRoche
19
74 kg
1
62 kgWechselberger
7
71 kgDemierre
10
70 kgPrim
11
76 kgGayant
16
69 kgRoche
19
74 kg
Weight (KG) →
Result →
76
62
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 7 | WECHSELBERGER Helmut | 71 |
| 10 | DEMIERRE Serge | 70 |
| 11 | PRIM Tommy | 76 |
| 16 | GAYANT Martial | 69 |
| 19 | ROCHE Stephen | 74 |