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 = -0.6 * weight + 85
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAYLES Robert | 80 |
| 2 | SWEET Jay | 69 |
| 15 | TANNER John | 70 |
| 17 | DVORŠČÍK Milan | 68 |
| 25 | MITCHELL Glen | 70 |
| 28 | GRABSCH Ralf | 81 |
| 31 | TANG Xuezhong | 71 |
| 33 | CALCAGNI Patrick | 65 |
| 35 | DE GROOT Bram | 65 |
| 36 | NEWTON Christopher | 69 |
| 39 | ANDERSEN Christian | 71 |
| 57 | VALACH Ján | 75 |
| 58 | GONO Marcel | 69 |
| 64 | LANDRY Jacques | 77 |
| 78 | WOHLBERG Eric | 63 |
| 84 | LIPTÁK Miroslav | 68 |
| 91 | GREEN Roland | 75 |