Consider the model y = β0 + ï¢1x1 + ï¢2x1 2 + ï¢3x2 + ï¢4x3 + ï¢5

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Consider the model
y = β0 + 1x1 + 2x1 2 + 3x2 + 4x3 + 5 x1x2
+ 6x1x3 + 7 x12 x2 + 8 x12 x3 + (
Where x1 is a quantitative variable and
1 if level 3 (1 if level 2 lo otherwise lo otherwise X3 =

The resulting least squares prediction equation is

ŷ = 48.8 – 3.4x1 + .07x – 2.4x2 – 7.5x3 + 3.7x,x2 + 2.7x1x3 – .02x}x2 – .04x}x3

a. What is the equation of the response curve for E(y) when x2 = 0 and x3 = 0? When x2 = 1 and x3 = 0? When x2 = 0 and x3 = 1?
b. On the same graph, plot the least squares prediction equation associated with level 1, level 2, and level 3.

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Statistics

ISBN: 9780134080215

13th Edition

Authors: James T. McClave

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