The owner of an ice cream shop wants to determine whether there is a relationship between ice cream sales and temperature. The owner collects data on temperature and sales for a random sample of 30 days and runs a regression to determine if there is a relationship between temperature (in degrees) and ice cream sales. The p-value for the two-sided hypothesis test is 0.04. How would you interpret the p-value? If there is no relationship between temperature and sales, the chance of selecting a sample this extreme would be 4%. If there is a relationship between temperature and sales, the chance of seeing a regression coefficient this large would be 4%. There is a 4% chance that there is a relationship between temperature and revenue. There is a 4% chance that there is no relationship between temperature and revenue.