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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Zoetemelk
3
68 kgHinault
7
62 kgSaronni
8
65 kgKelly
10
77 kgPoulidor
12
71 kgBittinger
14
69 kgDidier
25
67 kg
3
68 kgHinault
7
62 kgSaronni
8
65 kgKelly
10
77 kgPoulidor
12
71 kgBittinger
14
69 kgDidier
25
67 kg
Weight (KG) →
Result →
77
62
3
25
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ZOETEMELK Joop | 68 |
| 7 | HINAULT Bernard | 62 |
| 8 | SARONNI Giuseppe | 65 |
| 10 | KELLY Sean | 77 |
| 12 | POULIDOR Raymond | 71 |
| 14 | BITTINGER René | 69 |
| 25 | DIDIER Lucien | 67 |