The below file contains information on sales of peanut butter for weeks when a coupon was given out (or not) and when advertising was done (or not) in the Sunday paper. How do you interpret the ANOVA Table results to determine if there is an interaction and how these ads and coupons effect peanut butter sales.

Coupon No Coupon No Ad 87 60 83 75 78 79 Ad 170 130 150 140 190 170 Anova: Two-Factor With Replication Mean no Ad 77 SUMMARY Coupon No Coupor Total There is Mean Ad 158.3333 81.3333333 No Ad but the Count 3 3 6 butter. Th Mean Coupon 126.3333 Sum 248 214 462 co Mean No coupon 109 17.3333333 Average 82.66666667 71.33333 77 Variance 20.33333333 100.3333 86.8 Ad Count 3 3 6 Sum 510 440 950 Average 170 146.6667 158.3333 Variance 400 433.3333 496.6667 Total Count 6 6 Sum 758 654 Average 126.3333333 109 Variance 2456.266667 1916 ANOVA Source of Variatic SS df MS F P-value F crit Sample 19845.33333 1 19845.33 83.20894 1.68E-05 5.317655 Columns 901.3333333 1 901.3333 3.779175 0.087801 5.317655 Interaction 108 108 0.45283 0.519955 5.317655 Within 1908 238.5 Total 22762.66667 11