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 = 0.4 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Oram
1
68 kgCavanagh
2
72 kgMudgway
4
65 kgOliver
5
71 kgKergozou De La Boessiere
6
74 kgRitchie
8
75 kg
1
68 kgCavanagh
2
72 kgMudgway
4
65 kgOliver
5
71 kgKergozou De La Boessiere
6
74 kgRitchie
8
75 kg
Weight (KG) →
Result →
75
65
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ORAM James | 68 |
| 2 | CAVANAGH Ryan | 72 |
| 4 | MUDGWAY Luke | 65 |
| 5 | OLIVER Ben | 71 |
| 6 | KERGOZOU DE LA BOESSIERE Nick | 74 |
| 8 | RITCHIE Samuel | 75 |