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 = -0.8 * weight + 63
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Bajc
7
65 kgYates
10
73 kgRoe
11
66 kgCrawford
12
59 kgAnderson
13
68 kgBates
19
61 kgReid
22
62 kgBennett
24
58 kg
7
65 kgYates
10
73 kgRoe
11
66 kgCrawford
12
59 kgAnderson
13
68 kgBates
19
61 kgReid
22
62 kgBennett
24
58 kg
Weight (KG) →
Result →
73
58
7
24
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | BAJC Andi | 65 |
| 10 | YATES Jeremy | 73 |
| 11 | ROE Timothy | 66 |
| 12 | CRAWFORD Jai | 59 |
| 13 | ANDERSON Jack | 68 |
| 19 | BATES Gene | 61 |
| 22 | REID Robin | 62 |
| 24 | BENNETT George | 58 |