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, O otherwise). The complete data is contained in the accompanying table. Weekend Temperature 78 Customers 362 313 70 567 70 1 650 85 1 693 83 1 68 80 337 586 1 323 70 a. Estimate: Customers - Bo + ß1Temperature + B2weekend + e. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) Customers = (Temperature) *Weekend b. How many customers should the manager expect on a Sunday with a forecasted high temperature of 80°? (Do not round intermediate calculations. Round final answers to 2 decimal places.) c-2. Is the variable Weekend significant at the 5% level? O Yes, since we reject the relevant #9. O Yes, since we do not reject the relevant #9. O No, since we reject the relevant #g. O No, since we do not reject the relevant #o. c-3. How might this affect the store's staffing needs? O The manager may want to plan on staffing the store with more employees during weekdays. O The manager may want to plan on staffing the store with less employees on the weekends. O The manager does not need to adjust staffing based on the day of the week. O The manager may want to plan on staffing the store with more employees on the weekends.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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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,
O otherwise). The complete data is contained in the accompanying table.
Customers
Temperature
Weekend
362
78
313
70
567
70
1
650
85
1
693
83
337
68
586
80
1
323
70
a. Estimate: Customers = Bo + ßịTemperature + B2weekend + E. (Negative values should be indicated by a
minus sign. Round your answers to 2 decimal places.)
Customers =
1 (Temperature)
*Weekend
b. How many customers should the manager expect on a Sunday with a forecasted high temperature of 80°?
(Do not round intermediate calculations. Round final answers to 2 decimal places.)
c-2. Is the variable Weekend significant at the 5% level?
O Yes, since we reject the relevant #9.
O Yes, since we do not reject the relevant #g-
O No, since we reject the relevant H9.
O No, since we do not reject the relevant Họ.
c-3. How might this affect the store's staffing needs?
O The manager may want to plan on staffing the store with more employees during weekdays.
O The manager may want to plan on staffing the store with less employees on the weekends.
O The manager does not need to adjust staffing based on the day of the week.
O The manager may want to plan on staffing the store with more employees on the weekends.
Transcribed Image Text: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, O otherwise). The complete data is contained in the accompanying table. Customers Temperature Weekend 362 78 313 70 567 70 1 650 85 1 693 83 337 68 586 80 1 323 70 a. Estimate: Customers = Bo + ßịTemperature + B2weekend + E. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) Customers = 1 (Temperature) *Weekend b. How many customers should the manager expect on a Sunday with a forecasted high temperature of 80°? (Do not round intermediate calculations. Round final answers to 2 decimal places.) c-2. Is the variable Weekend significant at the 5% level? O Yes, since we reject the relevant #9. O Yes, since we do not reject the relevant #g- O No, since we reject the relevant H9. O No, since we do not reject the relevant Họ. c-3. How might this affect the store's staffing needs? O The manager may want to plan on staffing the store with more employees during weekdays. O The manager may want to plan on staffing the store with less employees on the weekends. O The manager does not need to adjust staffing based on the day of the week. O The manager may want to plan on staffing the store with more employees on the weekends.
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