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 = -0.5 * weight + 61
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Bates
5
61 kgYates
14
73 kgBajc
19
65 kgRoe
20
66 kgCrawford
27
59 kgBennett
28
58 kgAnderson
47
68 kgReid
71
62 kg
5
61 kgYates
14
73 kgBajc
19
65 kgRoe
20
66 kgCrawford
27
59 kgBennett
28
58 kgAnderson
47
68 kgReid
71
62 kg
Weight (KG) →
Result →
73
58
5
71
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BATES Gene | 61 |
| 14 | YATES Jeremy | 73 |
| 19 | BAJC Andi | 65 |
| 20 | ROE Timothy | 66 |
| 27 | CRAWFORD Jai | 59 |
| 28 | BENNETT George | 58 |
| 47 | ANDERSON Jack | 68 |
| 71 | REID Robin | 62 |