S.No | X | Y | (x-x̅)2 | (y-y̅)2 | (x-x̅)(y-y̅) |
1 | 1 | 14 | 6.2500 | 1431.3611 | 94.5833 |
2 | 2 | 33 | 2.2500 | 354.6944 | 28.2500 |
3 | 3 | 40 | 0.2500 | 140.0278 | 5.9167 |
4 | 4 | 63 | 0.2500 | 124.6944 | 5.5833 |
5 | 5 | 76 | 2.2500 | 584.0278 | 36.2500 |
6 | 6 | 85 | 6.2500 | 1100.0278 | 82.9167 |
Total | 21 | 311 | 17.5000 | 3734.8333 | 253.5000 |
Mean | 3.500 | 51.833 | SSX | SSY | SXY |
1)
Sxx | = | 'Σ(Xi-X̅)2= | 17.5000 |
2)
error Variance = | s2 =SSE/(n-2) | = | 15.6762 |
3)
for 95 % CI value of t= | 2.7760 |
4)
lower confidence bound=estimated slope-margin of error = | 11.858 |
5)
Upper confidence bound=estimated slope+margin of error= | 17.113 |
Shown in the table are data for the tensile force applied to a steel specimen in...
1. Ten steel rods of nominally the same composition and diameter were subjected to various tensile forces (x, in thousands of pounds), and elongation (y, in thousands of an inch) of the steel rods was observed. The following data was observed: Σ!! Xi-458, Σ i X- 260.46, 201y630, 1 48735.1, 21 ry 3558.42. (a) Fit the least squares line that will enable us to predict elongation in terms of tensile force. For (b) and (c), assume independent normally distributed errors...
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