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 + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Dennis
1
72 kgDurbridge
2
78 kgMatthews
3
72 kgHaas
4
71 kgPhelan
5
73 kgFreiberg
6
82 kgMulhern
11
75 kgDyball
12
63 kg
1
72 kgDurbridge
2
78 kgMatthews
3
72 kgHaas
4
71 kgPhelan
5
73 kgFreiberg
6
82 kgMulhern
11
75 kgDyball
12
63 kg
Weight (KG) →
Result →
82
63
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DENNIS Rohan | 72 |
| 2 | DURBRIDGE Luke | 78 |
| 3 | MATTHEWS Michael | 72 |
| 4 | HAAS Nathan | 71 |
| 5 | PHELAN Adam | 73 |
| 6 | FREIBERG Michael | 82 |
| 11 | MULHERN Mitchell | 75 |
| 12 | DYBALL Benjamin | 63 |