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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Honig
1
61 kgDekker
2
69 kgVeelers
4
75 kgde Maar
7
70 kgScheuneman
11
75 kgMaaskant
13
76 kgHoogerland
17
65 kg
1
61 kgDekker
2
69 kgVeelers
4
75 kgde Maar
7
70 kgScheuneman
11
75 kgMaaskant
13
76 kgHoogerland
17
65 kg
Weight (KG) →
Result →
76
61
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HONIG Reinier | 61 |
| 2 | DEKKER Thomas | 69 |
| 4 | VEELERS Tom | 75 |
| 7 | DE MAAR Marc | 70 |
| 11 | SCHEUNEMAN Niels | 75 |
| 13 | MAASKANT Martijn | 76 |
| 17 | HOOGERLAND Johnny | 65 |