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 - 56
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MILLWARD Anna | 56 |
| 3 | STAHURSKAYA Zinaida | 69 |
| 5 | REEKIE-MAY Roz | 53 |
| 7 | GILMORE Rochelle | 56 |
| 11 | CORNEO Sigrid | 54 |
| 12 | CARRIGAN Sara | 60 |
| 14 | MELCHERS Mirjam | 59 |
| 15 | PRYDE Susy | 57 |
| 16 | BONANOMI Roberta | 60 |
| 18 | HOHLFELD Vera | 57 |
| 21 | STIAJKINA Tatiana | 51 |
| 26 | ULMER Sarah | 64 |
| 32 | DOPPMANN Priska | 55 |
| 46 | CARRARA Vera | 64 |
| 57 | BATES Katherine | 69 |