Question

I can't seem to figure this one out, please help! Thanks!

@?* 69%- 11:19 AM ? mathxl.com .al AT&T ,? es need to be removed because of colinearity value, let X2 represent time since the house was reassessed, and let X3 represent whether the house is new. w ets regression? Select all that apply. H. No models meet the requirements. the best model, which terms should be added? Select all that apply. Data Table Full data set Price Assessed Value Price Assessed Value 10 1 15 1 12 1 10 1 15 1 Print Done dit fields and then click Check Answer Clear A

Answer 1

Regression Analysis: Y versus X1, X2, X3, X1X2, X1X3, X2X3, X1^2, X2^2, X3^2

The following terms cannot be estimated and were removed:
X3^2

Coefficients

Term Coef SE Coef T-Value P-Value VIF
Constant 933 260 3.59 0.002
X1 -10.12 2.94 -3.45 0.002 2483.13
X2 8.28 3.88 2.13 0.045 1363.61
X3 -115.7 56.5 -2.05 0.053 4455.51
X1X2 -0.0452 0.0214 -2.12 0.046 1251.71
X1X3 0.674 0.316 2.13 0.045 4020.89
X2X3 -0.243 0.291 -0.84 0.413 12.82
X1^2 0.03339 0.00839 3.98 0.001 2324.36
X2^2 0.0108 0.0321 0.34 0.740 23.84

Regression Equation

Y = 933 - 10.12 X1 + 8.28 X2 - 115.7 X3 - 0.0452 X1X2 + 0.674 X1X3 - 0.243 X2X3
+ 0.03339 X1^2 + 0.0108 X2^2