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 = 0.9 * weight - 51
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Van Impe
2
59 kgZoetemelk
4
68 kgMartin
8
62 kgPollentier
10
62 kgMartinez
17
80 kgDe Wolf
31
75 kg
2
59 kgZoetemelk
4
68 kgMartin
8
62 kgPollentier
10
62 kgMartinez
17
80 kgDe Wolf
31
75 kg
Weight (KG) →
Result →
80
59
2
31
# | Rider | Weight (KG) |
---|---|---|
2 | VAN IMPE Lucien | 59 |
4 | ZOETEMELK Joop | 68 |
8 | MARTIN Raymond | 62 |
10 | POLLENTIER Michel | 62 |
17 | MARTINEZ Paulino | 80 |
31 | DE WOLF Fons | 75 |