Given the following data, use least-squares regression to derive a trend equation: Period 1 2 3 4 5 6 Demand 6 8 5 8 7 13 The least-squares regression equation that shows the best relationship between demand and period is (round your responses to two decimal places):
y = ? + ?x
where y = demand and x = period
Period(X) Demand (Y). XY X^2(Square of X)
1 6 6 1
2 8 16 4
3 5 15 9
4 8 32 16
5 7 35 25
6 13 78 36
X = 1+2+3+4+5+6 = 21
Y = 6+8+5+8+7+13 = 47
XY = 6+16+15+32+35+78 = 182
X^2 = 1+4+9+16+25+36 = 91
n = Number of periods = 6
X-bar = X / n = 21/6 = 3.5
Y-bar = Y/n = 47/6 = 7.83
b = ( XY - nX-bar .Y-bar ) / ( X^2 - n. Square of X-bar)
= [182 - (6)(3.5)(7.83) ] / [91 - (6)(3.5)(3.5)]
= (182 - 164.43) / (91 - 73.5)
= 17.57 / 17.5
= 1.00
a = Y-bar - b(X-bar) = 7.83 - 1.00(3.5) = 7.83 - 3.5 = 4.33
Y = a + bx => Y = 4.33 + 1.00x
So the regression equation is Y = 4.33 + 1.00x
Given the following data, use least-squares regression to derive a trend equation: Period 1 2 3...
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