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 = -1.7 * weight + 136
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Godefroot
1
73 kgSercu
3
76 kgConti
8
79 kgVianelli
12
73 kgPettersson
15
75 kgBalmamion
28
67 kg
1
73 kgSercu
3
76 kgConti
8
79 kgVianelli
12
73 kgPettersson
15
75 kgBalmamion
28
67 kg
Weight (KG) →
Result →
79
67
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GODEFROOT Walter | 73 |
| 3 | SERCU Patrick | 76 |
| 8 | CONTI Tino | 79 |
| 12 | VIANELLI Pierfranco | 73 |
| 15 | PETTERSSON Gösta | 75 |
| 28 | BALMAMION Franco | 67 |