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 = 1.2 * weight - 53
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MILLWARD Anna | 56 |
| 2 | CARRIGAN Sara | 60 |
| 4 | GILMORE Rochelle | 56 |
| 9 | STAHURSKAYA Zinaida | 69 |
| 10 | MELCHERS Mirjam | 59 |
| 12 | DOPPMANN Priska | 55 |
| 16 | CORNEO Sigrid | 54 |
| 17 | PRYDE Susy | 57 |
| 19 | BONANOMI Roberta | 60 |
| 22 | REEKIE-MAY Roz | 53 |
| 23 | HOHLFELD Vera | 57 |
| 27 | ULMER Sarah | 64 |
| 30 | STIAJKINA Tatiana | 51 |
| 48 | CARRARA Vera | 64 |
| 61 | BATES Katherine | 69 |