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 = -1.1 * weight + 91
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Elliott
4
76 kgHolm Sørensen
9
77 kgMoreau
11
77 kgArntz
16
70 kgDernies
17
75 kg
4
76 kgHolm Sørensen
9
77 kgMoreau
11
77 kgArntz
16
70 kgDernies
17
75 kg
Weight (KG) →
Result →
77
70
4
17
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ELLIOTT Malcolm | 76 |
| 9 | HOLM SØRENSEN Brian | 77 |
| 11 | MOREAU Francis | 77 |
| 16 | ARNTZ Marcel | 70 |
| 17 | DERNIES Michel | 75 |