Help please.

A manager at an ice cream store is trying to determine how many customers to expect on any given day. Overall business has been relatively steady over the past several years, but the customer count seems to have ups and downs. He collects data over 30 days and records the number of customers, the high temperature (in degrees Fahrenheit), and whether the day fell on a weekend (Weekend equals 1 if weekend, 0 otherwise). A portion of the data is shown in the accompanying table. Customers Temperature Weekend 36 1 83 1 439 74 0 4 D 2 7 6 0 Epicture Click here for the Excel Data File 8. Estimate: Customers = ,80 + ,slTemperature + ZWBEkend + a. (Negative values should be indicated by minus sign. Round your answers to 2 decimal places.) _l_ b. How many customers should the manager expect on a Sunday with a forecasted high temperature of 70"? (Do not round intermediate calculations. Round nal answers to 2 decimal places.) c-1. Interpret the estimated coefficient for Weekend. 0 The predicted number of customers is approximately 75 more on weekends than on a week day, holding temperature the same. 0 The predicted number of customers is approximately 75 less on weekends than on a week day, holding temperature the same. 0 The predicted number of customers is approximately 39 less on weekends than on a week day, holding temperature the same. 0 The predicted number of customers is approximately 39 more on weekends than on a week day, holding temperature the same. c-2. Is the variable Weekend significant at the 5% level? O No, since we do not reject the relevant Ho- O Yes, since we do not reject the relevant Ho. O Yes, since we reject the relevant Ho. O No, since we reject the relevant Ho. c-3. How might this affect the store's staffing needs? O The manager need to adjust staffing based on the day of the week. The manager may want to plan on staffing the store with more employees on the weekends. The manager may want to plan on staffing the store with less employees during weekdays. The manager may want to plan on staffing the store with less employees on the weekends.