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 = -1.5 * weight + 120
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Anderson
1
68 kgBates
16
61 kgRoe
17
66 kgReid
23
62 kgBennett
27
58 kgYates
30
73 kgBajc
31
65 kgCrawford
68
59 kg
1
68 kgBates
16
61 kgRoe
17
66 kgReid
23
62 kgBennett
27
58 kgYates
30
73 kgBajc
31
65 kgCrawford
68
59 kg
Weight (KG) →
Result →
73
58
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDERSON Jack | 68 |
| 16 | BATES Gene | 61 |
| 17 | ROE Timothy | 66 |
| 23 | REID Robin | 62 |
| 27 | BENNETT George | 58 |
| 30 | YATES Jeremy | 73 |
| 31 | BAJC Andi | 65 |
| 68 | CRAWFORD Jai | 59 |