X | Y | XY | X^2 | Y^2 |
766 | 51 | 39066 | 586756 | 2601 |
620 | 46 | 28520 | 384400 | 2116 |
520 | 45 | 23400 | 270400 | 2025 |
508 | 41 | 20828 | 258064 | 1681 |
494 | 38 | 18772 | 244036 | 1444 |
484 | 36 | 17424 | 234256 | 1296 |
From the above table and formula we get the value are as:
n | 6 |
sum(XY) | 148010.00 |
sum(X) | 3392.00 |
sum(Y) | 257.00 |
sum(X^2) | 1977912.00 |
sum(Y^2) | 11163.00 |
b | 0.045 |
a | 17.34 |
Regression equation = a + bx
ycap = 17.34 + 0.045x
ycap = 17.34 + 0.045x
a)
when x = 501
ycap = 17.34 + 0.045x
Predicted value = 17.34 + 0.05 * 501
= 42
b)
when x = 651
ycap = 17.34 + 0.045x
Predicted value = 17.34 + 0.05 * 651
= 50
c)
when x = 345
ycap = 17.34 + 0.045x
Predicted value = 17.34 + 0.05 * 345
= 35
d)
when x = 724
ycap = 17.34 + 0.045x
Predicted value = 17.34 + 0.05 * 724
= 54
parts a thru e Question Help- X9.2.17-T Find the equalion of the regression ine for the...
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