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 = 1.3 * weight - 49
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 2 | MOSER Francesco | 79 |
| 3 | LEMOND Greg | 67 |
| 4 | PRIM Tommy | 76 |
| 6 | BARONCHELLI Gianbattista | 72 |
| 13 | VAN IMPE Lucien | 59 |
| 15 | SARONNI Giuseppe | 65 |
| 29 | JOURDAN Christian | 64 |
| 48 | GAVAZZI Pierino | 67 |
| 62 | RÍOS Abelardo Antonio | 63 |
| 64 | CHIAPPUCCI Claudio | 67 |
| 70 | IMBODEN Heinz | 70 |
| 79 | PAGNIN Roberto | 74 |
| 83 | BITTINGER René | 69 |
| 117 | HOSTE Frank | 76 |