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 = -0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Museeuw
1
71 kgPiziks
2
70 kgSypytkowski
4
76 kgBaguet
6
67 kgNevens
7
58 kgDierckxsens
8
71 kgBomans
9
74 kg
1
71 kgPiziks
2
70 kgSypytkowski
4
76 kgBaguet
6
67 kgNevens
7
58 kgDierckxsens
8
71 kgBomans
9
74 kg
Weight (KG) →
Result →
76
58
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUSEEUW Johan | 71 |
| 2 | PIZIKS Arvis | 70 |
| 4 | SYPYTKOWSKI Andrzej | 76 |
| 6 | BAGUET Serge | 67 |
| 7 | NEVENS Jan | 58 |
| 8 | DIERCKXSENS Ludo | 71 |
| 9 | BOMANS Carlo | 74 |