The chief executive of Dabid's salon is interested in accumulating some information on the overhead costs incurred by the Company. You have been asked to analyze the following six months' worth of data: Month April May June LTT Overhead Cost No. of Appointments 867 P 48,128 45,200 47,120 50,800 47,460 624 689 July August September 974 730 49,920 901 Using the least squares regression method, give an estimate of the fixed cost for each mon O P34,371.72 O P35,631.77 O P36,804.09 O P37,545.70
The chief executive of Dabid's salon is interested in accumulating some information on the overhead costs incurred by the Company. You have been asked to analyze the following six months' worth of data: Month April May June LTT Overhead Cost No. of Appointments 867 P 48,128 45,200 47,120 50,800 47,460 624 689 July August September 974 730 49,920 901 Using the least squares regression method, give an estimate of the fixed cost for each mon O P34,371.72 O P35,631.77 O P36,804.09 O P37,545.70
Chapter1: Financial Statements And Business Decisions
Section: Chapter Questions
Problem 1Q
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Question
![The chief executive of Dabid's salon is interested in accumulating some
information on the overhead costs incurred by the Company. You have
been asked to analyze the following six months' worth of data:
Month
Overhead Cost
No. of Appointments
867
P 48,128
April
May
June
45,200
624
47,120
689
July
August
September
50,800
974
47,460
49,920
730
901
Using the least squares regression method, give an estimate of the fixed cost for each month
P34,371.72
P35,631.77
P36,804.09
O P37,545.70](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa4d9933a-df6e-4bea-b345-f89d392ccd8d%2Ffade2722-f907-4e53-8bd7-d08138236f53%2Frvcy69_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The chief executive of Dabid's salon is interested in accumulating some
information on the overhead costs incurred by the Company. You have
been asked to analyze the following six months' worth of data:
Month
Overhead Cost
No. of Appointments
867
P 48,128
April
May
June
45,200
624
47,120
689
July
August
September
50,800
974
47,460
49,920
730
901
Using the least squares regression method, give an estimate of the fixed cost for each month
P34,371.72
P35,631.77
P36,804.09
O P37,545.70
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