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 = -1.4 * weight + 151
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Stoneham
10
67 kgQuint
20
75 kgMorales
24
64 kgDick
42
69 kgFisher
92
77 kgVerstraete
97
59 kgGeersing
119
65 kg
10
67 kgQuint
20
75 kgMorales
24
64 kgDick
42
69 kgFisher
92
77 kgVerstraete
97
59 kgGeersing
119
65 kg
Weight (KG) →
Result →
77
59
10
119
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | STONEHAM Angus | 67 |
| 20 | QUINT Antoine | 75 |
| 24 | MORALES Jonathan | 64 |
| 42 | DICK Ahron | 69 |
| 92 | FISHER Sam | 77 |
| 97 | VERSTRAETE Jenthe | 59 |
| 119 | GEERSING Stijn | 65 |