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 = -2.2 * weight + 176
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
De Vlaeminck
1
74 kgMoser
6
79 kgMartinelli
10
74 kgPollentier
16
62 kgDelgado
24
64 kgVilamajo
35
70 kgSaronni
78
65 kg
1
74 kgMoser
6
79 kgMartinelli
10
74 kgPollentier
16
62 kgDelgado
24
64 kgVilamajo
35
70 kgSaronni
78
65 kg
Weight (KG) →
Result →
79
62
1
78
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 6 | MOSER Francesco | 79 |
| 10 | MARTINELLI Giuseppe | 74 |
| 16 | POLLENTIER Michel | 62 |
| 24 | DELGADO Pedro | 64 |
| 35 | VILAMAJO Jaime | 70 |
| 78 | SARONNI Giuseppe | 65 |