Answer:
Calculation table:
x | y | (x-xbar)^2 | (y-ybar)^2 | (x-xbar)(y-bar) | |
753 | 1007 | 7182.5625 | 24453.141 | 13252.78125 | |
769 | 1045 | 4726.5625 | 14012.641 | 8138.28125 | |
780 | 1104 | 3335.0625 | 3525.3906 | 3428.90625 | |
804 | 1143 | 1139.0625 | 415.14063 | 687.65625 | |
838 | 1196 | 0.0625 | 1064.3906 | 8.15625 | |
891 | 1254 | 2835.5625 | 8212.8906 | 4825.78125 | |
932 | 1268 | 8883.0625 | 10946.391 | 9860.90625 | |
935 | 1290 | 9457.5625 | 16033.891 | 12314.28125 | |
sum | 6702 | 9307 | 37559.5 | 78663.875 | 52516.75 |
mean | 837.75 | 1163.375 | sxx | syy | sxy |
SSR | sxy^2/sxx= | 73430.39792 |
SST | syy= | 78663.875 |
R^2 | SSR/SST | 0.933470388 |
# The coefficient of determination is 0.933
Interpretation:
The percentage of variation in variable y i.e average weekly wages (federal) that is explained by least square regression line is 93.3%
please find the standard error of estimate Se as well 9.3.14-T Assigned Media Question Help IN...