For 10 observations on price (X) and supply (Y) the following data were
obtained (in appropriate units):
∑X = 130, ∑Y = 220, ∑X
2 = 2288, ∑Y
2 = 5506 and ∑XY = 3467.
Obtain the line of regression of Y on X and estimate the supply when the price is 16
units, and find out the standard error of the estimate.
The line of regression of Y on XÂ is expressed as:
"Y=a+bX"
Where;
"b=\\frac{n\\Sigma XY-(\\Sigma X)(\\Sigma Y)}{n \\Sigma X^2-(\\Sigma X)^2}"
"b=\\frac{(10\\times3467)-(130)(220)}{10 (2288)^2-(130)^2}"
"b=1.02"
"a=\\frac{\\Sigma Y-b\\Sigma X}{n}"
"a=\\frac{220-1.02\\times130}{10}"
"a=8.74"
"Y=8.74+1.02X"
If the price (X) is 16 units then supply (Y) is:
"Y=8.74+1.02\\times16"
"Y=25.06"
The standard error of the estimate is:
"s=\\sqrt{\\frac{\\Sigma Y^2-a\\Sigma Y-b\\Sigma XY}{n-2}}"
"s=\\sqrt{\\frac{5506-(8.74\\times220)-(1.02\\times3467)}{10-2}}"
"s=2.42"
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