QUESTION 53 Questions 52 - 55 concern the following idea: Customers in 3 different countries are asked what would be most likely to make them revisit a shop (ie. what builds shop loyalty). An analyst checks to see if there are differences between the countries, using a y test for independence. Below is the output from the analysis (with some parts deleted). . Table # Counts Aus NZ USA Low Prices 54 38 98 Pleasant Staff 10 10 55 Easy Parking 15 10 24 Shop Environment 33 26 65 > . Test . Test Pearson's Chi-squared test data: .Table X-squared = ???, df = ???, p-value = 0.0495 > . Test$expected # Expected Counts Aus NZ USA Low Prices 48.58 ??? ??? Pleasant Staff 19.18 14.38 41.44 Easy Parking 12.53 ??? 27.07 Shop Environment 31.71 23.78 68.51 > round(.TestSresiduals*2, 2) # Chi-square Components Aus NZ USA Low Prices 0.60 0.07 0.46 Pleasant Staff 4.39 1.34 4.44 Easy Parking 0.49 0.04 0.35 Shop Environment ??? 0.21 0.10 The following hypotheses have been used in the performing of this test: Ho: Most important factor choice is independent of country of origin H4: Most important factor choice depends on country of origin Calculate the missing Chi-quare component corresponding to Shop Environment & Aus (correct to 2 decimal places)