A random sample of 502 Vail Resorts' guests were asked to rate...

A random sample of 502 Vail Resorts' guests were asked to rate their satisfaction on various attributes of their visit on a scale of 1-5 with 1 = very unsatisfied and 5 = very satisfied. The regression model was Y = overall satisfaction score, X1 = lift line wait, X2 = amount of ski trail grooming, X3 = ski patrol visibility, and X4 = friendliness of guest services.

 what is p-value?

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Regression Equation Analysis of Variance ovalue = 2.816 + 0.1589 liftwait + 0.2437 amountgr + 0.0512 skisafe - 0.1031 hosts Source DF Adj SS Adj MS F-Value P-Value Regression 4 32.584 8.1461 12.71 0.000 liftwait 8.477 8.4770 13.23 0.000 Coefficients amountgr 13.008 13.0082 20.30 0.000 skisafe 0.458 0.4576 0.71 0.398 Term Coef SE Coef T-Value P-Value VIF 1.911 1.9111 2.98 0.085 Constant 2.816 0.39 7.11 0.000 Erro 497 318.475 0.6408 liftwait 0.1589 0.0437 3.64 0.000 1.09 Lack-of-Fit 71 70.742 0.9964 1.71 0.001 amountgr 0.2437 0.0541 4.51 0.000 1.14 Pure Error 426 247.733 0.5815 skisafe 0.0512 0.0606 0.85 0.398 1.14 Total 501 351.060 hosts -0.1031 0.0597 -1.73 0.085 1.05 Model Summary S R-sq R-sq(adj) R-sq(pred) 0.800497 9.28% 8.55% 7.22%

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