a) Here we have to estimate the regression equation
y^ = bo + b1 * X
Where b1 = n*X*y - ( X* y)/[*X2 - ( X)2]
b1 = [5 * 95 - 24*24]/[5*154 - 242]
b1 = -0.52
bo = ybar - b1*xbar = 4.8 - (-0.52*4.8)
bo = 7.30
So regression equation is
y^ = 7.30 - 0.52 * X
b) for X = 9
y = 7.30 - 0.52*9
y^ = 2.62
the second picture is the chart i tried to make...the 'o' is supposed the be alpha...
The following sample observations were randomly selected. (Round intermediate calculations and final answers to 2 decimal places.) 4 6 4 &Click here for the Excel Data File a. The regression equation is y- When X is 5 this gives y =
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