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 = 0.2 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Maertens
1
65 kgDemeyer
6
85 kgHinault
10
62 kgPollentier
13
62 kgBracke
24
79 kg
1
65 kgDemeyer
6
85 kgHinault
10
62 kgPollentier
13
62 kgBracke
24
79 kg
Weight (KG) →
Result →
85
62
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | MAERTENS Freddy | 65 |
6 | DEMEYER Marc | 85 |
10 | HINAULT Bernard | 62 |
13 | POLLENTIER Michel | 62 |
24 | BRACKE Ferdinand | 79 |