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 = -0.6 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Stoneham
2
67 kgFisher
12
77 kgVerstraete
23
59 kgMorales
29
64 kgQuint
34
75 kgDick
43
69 kgGeersing
69
65 kg
2
67 kgFisher
12
77 kgVerstraete
23
59 kgMorales
29
64 kgQuint
34
75 kgDick
43
69 kgGeersing
69
65 kg
Weight (KG) →
Result →
77
59
2
69
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STONEHAM Angus | 67 |
| 12 | FISHER Sam | 77 |
| 23 | VERSTRAETE Jenthe | 59 |
| 29 | MORALES Jonathan | 64 |
| 34 | QUINT Antoine | 75 |
| 43 | DICK Ahron | 69 |
| 69 | GEERSING Stijn | 65 |