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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Crawford
1
59 kgYates
3
73 kgRoe
7
66 kgBennett
8
58 kgBates
10
61 kgReid
14
62 kgAnderson
17
68 kgBajc
26
65 kg
1
59 kgYates
3
73 kgRoe
7
66 kgBennett
8
58 kgBates
10
61 kgReid
14
62 kgAnderson
17
68 kgBajc
26
65 kg
Weight (KG) →
Result →
73
58
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CRAWFORD Jai | 59 |
| 3 | YATES Jeremy | 73 |
| 7 | ROE Timothy | 66 |
| 8 | BENNETT George | 58 |
| 10 | BATES Gene | 61 |
| 14 | REID Robin | 62 |
| 17 | ANDERSON Jack | 68 |
| 26 | BAJC Andi | 65 |