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 = -0.9 * weight + 73
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Roe
5
66 kgReid
7
62 kgAnderson
10
68 kgYates
11
73 kgCrawford
13
59 kgBajc
15
65 kgBennett
17
58 kgBates
47
61 kg
5
66 kgReid
7
62 kgAnderson
10
68 kgYates
11
73 kgCrawford
13
59 kgBajc
15
65 kgBennett
17
58 kgBates
47
61 kg
Weight (KG) →
Result →
73
58
5
47
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ROE Timothy | 66 |
| 7 | REID Robin | 62 |
| 10 | ANDERSON Jack | 68 |
| 11 | YATES Jeremy | 73 |
| 13 | CRAWFORD Jai | 59 |
| 15 | BAJC Andi | 65 |
| 17 | BENNETT George | 58 |
| 47 | BATES Gene | 61 |