Suppose you conduct a customer satisfaction study on passive lock systems for new vehicles. One variable of interest is the delay time preference and whether it is affected by Male versus Female customers. Based on a chi-square test of independence, which of the following would you most likely conclude? Suppose you conduct a customer satisfaction study on passive lock systems for new vehicles. One variable of interest is the delay time preference and whether it is affected by Male versus Female customers. Based on a chi-square test of independence, which of the following would you most likely conclude? (See Excel file for data). Row Factor: Male-Female Column Factor: Delay Time Preference to Activate where levels are: No Delay, 10 Seconds, or 20 Seconds For setup, include row percent a. The two variables are not independent (Chi-Square p-value = 0.000), delay time preference differs between male and female drivers b. The two variables are independent (Chi-Square p-value = 0.705) with both preferring No Delay over the others c. The two variables are independent (Chi-Square p-value = 0.705) with both preferring 10 second delay over the others d. The two variables are independent (Chi-Square p-value = 0.705) with both preferring 20 second