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y = height of California redwood tree (feet) x1 = diameter of the tree four feet off the ground (feet) x2 = thickness of the

y = height of California redwood tree (feet)

x1 = diameter of the tree four feet off the ground (feet)

x2 = thickness of the bark(inches)

b0 = 62.14

b1 = 2.06

b2 = 10.84

a) Determine the regression equation and predict the height of a California redwood tree if the diameter of the tree is 18 feet and the bark is 5 inches thick.

b) Interpret the slope b1.

c) Calculate and interpret the adjusted coefficient of determination, R-Sq-adj.

d) Is there a significant relationship between the height of the California redwoods and the two independent variables, diameter and bark thickness, at the 0.05 level of significance?

e)Determine whether each independent variable makes a significant contribution to the regression model. Indicate the independent variables to include in this model. alpha = 0.05, Sb1 = 0.44, Sb2 = 6.03

show all work. Fill in chart below

Source SS df MS F

regression 25.04

error

total 59.18 20

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