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 + 46
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Bates
3
61 kgYates
15
73 kgBajc
17
65 kgCrawford
24
59 kgRoe
25
66 kgAnderson
26
68 kgBennett
27
58 kgReid
40
62 kg
3
61 kgYates
15
73 kgBajc
17
65 kgCrawford
24
59 kgRoe
25
66 kgAnderson
26
68 kgBennett
27
58 kgReid
40
62 kg
Weight (KG) →
Result →
73
58
3
40
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BATES Gene | 61 |
| 15 | YATES Jeremy | 73 |
| 17 | BAJC Andi | 65 |
| 24 | CRAWFORD Jai | 59 |
| 25 | ROE Timothy | 66 |
| 26 | ANDERSON Jack | 68 |
| 27 | BENNETT George | 58 |
| 40 | REID Robin | 62 |