Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows: MONTH January February March April May June July August September October November December Month a. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediate calculations. Round your answers to 2 decimal places.) January February March April May June July August September October DEMAND (UNITS) 4,220 4,320 4,020 4,420 5,020 4,720 5,320 4,920 November December 5,420 5,720 6,320 6,020 Forecast 6,196.67 6,388.97 6,581.28 6,773.59 6,965.90 7,158.21 7,350.51 7,542.82 7,735.13 7,927.44 8,119.74 8,312.05
Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows: MONTH January February March April May June July August September October November December Month a. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediate calculations. Round your answers to 2 decimal places.) January February March April May June July August September October DEMAND (UNITS) 4,220 4,320 4,020 4,420 5,020 4,720 5,320 4,920 November December 5,420 5,720 6,320 6,020 Forecast 6,196.67 6,388.97 6,581.28 6,773.59 6,965.90 7,158.21 7,350.51 7,542.82 7,735.13 7,927.44 8,119.74 8,312.05
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year.
The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws
have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows:
MONTH
January
February
March
April
May
June
July
August
September
October
November
December
Month
a. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediate
calculations. Round your answers to 2 decimal places.)
January
February
March
April
May
June
July
August
September
October
DEMAND (UNITS)
November
December
4,220
4,320
4,020
4,420
5,020
4,720
5,320
4,920
5,420
5,720
6,320
6,020
Forecast
6,196.67
6,388.97
6,581.28
6,773.59
6,965.90
7,158.21
7,350.51
7,542.82
7,735.13
7,927.44
8,119.74
8,312.05](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F316a7423-337f-44d9-b890-d8b19bac3451%2F46e4ed66-cfee-45f7-a6fc-81cbe8c4bdef%2F8f2tufi_processed.png&w=3840&q=75)
Transcribed Image Text:Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year.
The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws
have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows:
MONTH
January
February
March
April
May
June
July
August
September
October
November
December
Month
a. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediate
calculations. Round your answers to 2 decimal places.)
January
February
March
April
May
June
July
August
September
October
DEMAND (UNITS)
November
December
4,220
4,320
4,020
4,420
5,020
4,720
5,320
4,920
5,420
5,720
6,320
6,020
Forecast
6,196.67
6,388.97
6,581.28
6,773.59
6,965.90
7,158.21
7,350.51
7,542.82
7,735.13
7,927.44
8,119.74
8,312.05
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