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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Roe
3
66 kgYates
5
73 kgCrawford
8
59 kgBennett
9
58 kgBates
12
61 kgReid
13
62 kgBajc
15
65 kgAnderson
17
68 kg
3
66 kgYates
5
73 kgCrawford
8
59 kgBennett
9
58 kgBates
12
61 kgReid
13
62 kgBajc
15
65 kgAnderson
17
68 kg
Weight (KG) →
Result →
73
58
3
17
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROE Timothy | 66 |
| 5 | YATES Jeremy | 73 |
| 8 | CRAWFORD Jai | 59 |
| 9 | BENNETT George | 58 |
| 12 | BATES Gene | 61 |
| 13 | REID Robin | 62 |
| 15 | BAJC Andi | 65 |
| 17 | ANDERSON Jack | 68 |