| Sxx | Syy | Sxy | |||
| x | y | (X-Xbar)2 | (Y-Ybar)2 | (X-Xbar)(Y-Ybar) | |
| 26 | 80 | 1369 | 102400 | 11840 | |
| 45 | 344 | 324 | 3136 | 1008 | |
| 54 | 416 | 81 | 256 | -144 | |
| 49 | 348 | 196 | 2704 | 728 | |
| 35 | 166 | 784 | 54756 | 6552 | |
| 41 | 220 | 484 | 32400 | 3960 | |
| 41 | 262 | 484 | 19044 | 3036 | |
| 49 | 360 | 196 | 1600 | 560 | |
| 38 | 204 | 625 | 38416 | 4900 | |
| Total | 378 | 2400 | 4543 | 254712 | 32440 |
| Mean | 63 | 400 | |||
| beta1 | 7.14 | ||||
| beta0 | -49.86 |
The equation of regression line is
y=beta0 + beta1 x
y = -49.86 + 7,14 x
Formula Sheet
| Sxx | Syy | Sxy | |||
| x | y | (X-Xbar)2 | (Y-Ybar)2 | (X-Xbar)(Y-Ybar) | |
| 26 | 80 | =(B3-$B$13)^2 | =(C3-$C$13)^2 | =(B3-$B$13)*(C3-$C$13) | |
| 45 | 344 | =(B4-$B$13)^2 | =(C4-$C$13)^2 | =(B4-$B$13)*(C4-$C$13) | |
| 54 | 416 | =(B5-$B$13)^2 | =(C5-$C$13)^2 | =(B5-$B$13)*(C5-$C$13) | |
| 49 | 348 | =(B6-$B$13)^2 | =(C6-$C$13)^2 | =(B6-$B$13)*(C6-$C$13) | |
| 35 | 166 | =(B7-$B$13)^2 | =(C7-$C$13)^2 | =(B7-$B$13)*(C7-$C$13) | |
| 41 | 220 | =(B8-$B$13)^2 | =(C8-$C$13)^2 | =(B8-$B$13)*(C8-$C$13) | |
| 41 | 262 | =(B9-$B$13)^2 | =(C9-$C$13)^2 | =(B9-$B$13)*(C9-$C$13) | |
| 49 | 360 | =(B10-$B$13)^2 | =(C10-$C$13)^2 | =(B10-$B$13)*(C10-$C$13) | |
| 38 | 204 | =(B11-$B$13)^2 | =(C11-$C$13)^2 | =(B11-$B$13)*(C11-$C$13) | |
| Total | =SUM(B3:B11) | =SUM(C3:C11) | =SUM(D3:D11) | =SUM(E3:E11) | =SUM(F3:F11) |
| Mean | =B12/6 | =C12/6 | |||
| beta1 | =F12/D12 | ||||
| beta0 | =C13-B14*B13 |
beta1=Sxy/Sxx
beta0= mean(y) - beta1 * mean(x)
- Evaluate the definite integral. 1:22 4 dx (1) (2) 46 3 26 3 (3) 0 (4) 1
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