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 = 0.6 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Lloyd
1
62 kgReid
5
62 kgClarke
7
68 kgClarke
15
63 kgGudsell
16
77 kg
1
62 kgReid
5
62 kgClarke
7
68 kgClarke
15
63 kgGudsell
16
77 kg
Weight (KG) →
Result →
77
62
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LLOYD Matthew | 62 |
| 5 | REID Robin | 62 |
| 7 | CLARKE Jonathan | 68 |
| 15 | CLARKE Simon | 63 |
| 16 | GUDSELL Timothy | 77 |