Describe Data #1 by the following:

a. Significance of the model

b. Multicollinearity

c. Conclusions about the variables in this model. Use = 0.05.

d. Normality of the residuals

e. Adequacy of the model

DATA #1 Regression Equation Pitch (y) = -0.0784 - 0.000044 Temp (x1) + 0.002454 SoakTime (x2) + 0.0183 SoakPet (x3) * 0.00779 DiffTime (x4) - 0.00313 DiffPet (x5) Coefficients Model Summary Term Coef SE Coef T-Value P-Value VIF S R-sq R-sq(adj) R-sq[pred) Constant -0.0784 0.0736 -1.06 0.297 0.0022720 96.90% 96.30%% 94.27% Temp (x1) 0.000044 0.000036 1.21 0.237 3.17 SoakTime (x2) 0.002454 0.000208 11.79 0.000 3.35 SoakPet (3) 0.0183 0.0201 0.91 0.371 3.19 DiffTime (*4) 0.00779 0.00135 5.77 0.000 251 Diffpct (x5) -0.00313 0.00805 -0.39 0.700 2.75 Fits and Diagnostics for Unusual Observations Obs Pitch by FR Redid Sod Reald 29 0 04500 0.03354 0.00842 32 0 66860 0.08053 -0.00153 Analysis of Variance Source DF Adj SS Adj MS F-Value P.Value Regression 5 0.004192 0.000838 16243 0.000 Temp (x1) 1 0,000008 0.000008 147 0.237 Normal Probability Plot SoakTime (x2) 1 0.000717 0.000717 138.94 0.000 SoakPet (x3) 1 0.000004 0.000004 0.83 0.371 DiffTime (x4) 1 0.000172 0.000172 33.30 0.000 ALL DiffPet (x5) 1 0.000001 0.000001 0.15 0.700 Error 26 0.000134 0.000005 Lack-of-Fit 19 0.000124 0.000007 4.50 0.025 Pure Error 7 0.000010 0.000001 Total 31 0.004326