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 = 1.7 * weight - 96
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Lloyd
4
62 kgClarke
6
68 kgReid
10
62 kgClarke
19
63 kgGudsell
37
77 kg
4
62 kgClarke
6
68 kgReid
10
62 kgClarke
19
63 kgGudsell
37
77 kg
Weight (KG) →
Result →
77
62
4
37
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | LLOYD Matthew | 62 |
| 6 | CLARKE Jonathan | 68 |
| 10 | REID Robin | 62 |
| 19 | CLARKE Simon | 63 |
| 37 | GUDSELL Timothy | 77 |