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 = -0.6 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Roe
3
66 kgYates
4
73 kgBajc
9
65 kgBates
11
61 kgReid
13
62 kgCrawford
14
59 kgBennett
17
58 kgAnderson
20
68 kg
3
66 kgYates
4
73 kgBajc
9
65 kgBates
11
61 kgReid
13
62 kgCrawford
14
59 kgBennett
17
58 kgAnderson
20
68 kg
Weight (KG) →
Result →
73
58
3
20
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROE Timothy | 66 |
| 4 | YATES Jeremy | 73 |
| 9 | BAJC Andi | 65 |
| 11 | BATES Gene | 61 |
| 13 | REID Robin | 62 |
| 14 | CRAWFORD Jai | 59 |
| 17 | BENNETT George | 58 |
| 20 | ANDERSON Jack | 68 |