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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Hepburn
1
77 kgRudolph
2
69 kgMatthews
3
72 kgRoe
5
66 kgDyball
6
63 kgDurbridge
8
78 kgDennis
10
72 kgEarle
12
70 kg
1
77 kgRudolph
2
69 kgMatthews
3
72 kgRoe
5
66 kgDyball
6
63 kgDurbridge
8
78 kgDennis
10
72 kgEarle
12
70 kg
Weight (KG) →
Result →
78
63
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HEPBURN Michael | 77 |
| 2 | RUDOLPH Malcolm | 69 |
| 3 | MATTHEWS Michael | 72 |
| 5 | ROE Timothy | 66 |
| 6 | DYBALL Benjamin | 63 |
| 8 | DURBRIDGE Luke | 78 |
| 10 | DENNIS Rohan | 72 |
| 12 | EARLE Nathan | 70 |