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 + 99
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FLAKSIS Andžs | 79 |
| 5 | MCCABE Travis | 72 |
| 6 | HUFFMAN Evan | 71 |
| 7 | TANOVIȚCHII Nicolae | 73 |
| 8 | BUSCHE Matthew | 69 |
| 12 | ZIMMER Matt | 68 |
| 14 | CLARKE Jonathan | 68 |
| 15 | ORONTE Emerson | 65 |
| 19 | JONES Chris | 64 |
| 20 | HORNER Chris | 70 |
| 23 | ÁVILA Edwin | 61 |
| 24 | PICCOLI James | 65 |