I need explanations for tables

The 'roving eye' effect is the propensity of people in relationships to 'eye up' members of the opposite sex. I fitted 20 people with incredibly sophisticated glasses that tracked their eye movements.Over four nights I plied them with either 1, 2, 3 or 4 pints of strong lager in a nightclub and recorded how many different people they eyed up (i.e., scanned their bodies). Is there an effect of alcohol on the tendency to eye people up?

Table 1

Descriptive Statistics Mean Std. Deviation N 1 Pint 11.7500 4.31491 20 2 Pints 11.7000 4.65776 20 4 Pints 14.9500 4.67327 20 3 Pints 15.2000 5.80018 20Mauchly's Test of Sphericity" Measure: MEASURE_1 Epsilon Approx. Chi- Greenhouse- Lower- Within Subjects Effect Mauchly's W Square Sig Geisser Huynh-Feldt bound alcohol -477 13.122 5 .022 745 .849 -333 Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix. a. Design: Intercept Within Subjects Design: alcohol b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table.Tests of Within-Subjects Contrasts Measure: MEASURE_1 Type Ill Sum Partial Eta Noncent. Observed Source alcohol of Squares df Mean Square F Sig. Squared Parameter Power alcohol Linear 184.960 184.960 7.981 011 296 7.981 764 Quadratic 450 450 056 816 003 056 056 Cubic 39.690 39.690 2.433 135 .113 2.433 316 Error(alcohol) Linear 440.340 19 23.176 Quadratic 154.050 19 8.108 Cubic 310.010 19 16.316 a. Computed using alpha = .05Tests of Between-Subjects Effects Measure: MEASURE_1 Transformed Variable: Average Type Ill Sum Partial Eta Noncent. Observed Source of Squares df Mean Square F Sig. Squared Parameter Power Intercept 14364.800 1 14364.800 298.057 <.001 error a. computed using alpha=".05\fPairwise" comparisons measure: measure_1 confidence interval for mean difference alcohol j std. sig. b lower bound upper .147 based on estimated marginal means the is significant at .05 level. b. adjustment multiple comparisons: bonferroni>