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 = 0.3 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Zoetemelk
1
68 kgMoser
4
79 kgGimondi
6
78 kgPollentier
8
62 kgSutter
9
70 kgDemeyer
17
85 kg
1
68 kgMoser
4
79 kgGimondi
6
78 kgPollentier
8
62 kgSutter
9
70 kgDemeyer
17
85 kg
Weight (KG) →
Result →
85
62
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOETEMELK Joop | 68 |
| 4 | MOSER Francesco | 79 |
| 6 | GIMONDI Felice | 78 |
| 8 | POLLENTIER Michel | 62 |
| 9 | SUTTER Ueli | 70 |
| 17 | DEMEYER Marc | 85 |