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 = 1.9 * weight - 109
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Poulidor
1
71 kgMomeñe
16
61 kgKarstens
26
74 kgNijdam
33
75 kgBracke
45
79 kgZoet
47
77 kg
1
71 kgMomeñe
16
61 kgKarstens
26
74 kgNijdam
33
75 kgBracke
45
79 kgZoet
47
77 kg
Weight (KG) →
Result →
79
61
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POULIDOR Raymond | 71 |
| 16 | MOMEÑE José Antonio | 61 |
| 26 | KARSTENS Gerben | 74 |
| 33 | NIJDAM Henk | 75 |
| 45 | BRACKE Ferdinand | 79 |
| 47 | ZOET Bart | 77 |