X |
Y |
XY |
X^2 |
15 |
5.2 |
78.0 |
225 |
18 |
6.3 |
113.4 |
324 |
8 |
6.8 |
54.4 |
64 |
30 |
8.2 |
246.0 |
900 |
26 |
8.0 |
208.0 |
676 |
12 |
5.3 |
63.6 |
144 |
21 |
5.9 |
123.9 |
441 |
130 |
45.7 |
887.3 |
2774 |
Slope for linear regression uses these totals: (7*887.3-130*45.7)/(7*2774-130^2)=0.1073 approx.
Intercept is: (45.7-0.1073*130)/7=4.54 approx. The equation for best fit is Y=0.11X+4.54, where X=leg-press and Y=dash time.
When X=22, Y=6.9 secs.