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 = 1.4 * weight - 69
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Ugrumov
12
58 kgChevallier
13
69 kgJourdan
15
64 kgDernies
16
75 kgInduráin
38
76 kgMartinello
73
71 kg
12
58 kgChevallier
13
69 kgJourdan
15
64 kgDernies
16
75 kgInduráin
38
76 kgMartinello
73
71 kg
Weight (KG) →
Result →
76
58
12
73
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | UGRUMOV Piotr | 58 |
| 13 | CHEVALLIER Philippe | 69 |
| 15 | JOURDAN Christian | 64 |
| 16 | DERNIES Michel | 75 |
| 38 | INDURÁIN Miguel | 76 |
| 73 | MARTINELLO Silvio | 71 |