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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Bobridge
1
65 kgMeyer
2
68 kgMatthews
3
72 kgDempster
4
77 kgHaas
5
71 kgAnderson
7
68 kgRoe
9
66 kgDyball
14
63 kg
1
65 kgMeyer
2
68 kgMatthews
3
72 kgDempster
4
77 kgHaas
5
71 kgAnderson
7
68 kgRoe
9
66 kgDyball
14
63 kg
Weight (KG) →
Result →
77
63
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOBRIDGE Jack | 65 |
| 2 | MEYER Travis | 68 |
| 3 | MATTHEWS Michael | 72 |
| 4 | DEMPSTER Zak | 77 |
| 5 | HAAS Nathan | 71 |
| 7 | ANDERSON Jack | 68 |
| 9 | ROE Timothy | 66 |
| 14 | DYBALL Benjamin | 63 |