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 | DEMAND (UNITS) | ||
January | 4,210 | ||
February | 4,310 | ||
March | 4,010 | ||
April | 4,410 | ||
May | 5,010 | ||
June | 4,710 | ||
July | 5,310 | ||
August | 4,910 | ||
September | 5,410 | ||
October | 5,710 | ||
November | 6,310 | ||
December | 6,010 | ||
a. Using linear regression analysis, what would you estimate demand to be for each month next year? Using a spreadsheet, follow the general format in Exhibit 3.7. (Do not round intermediate calculations. Round your answers to 2 decimal places.)
Month | Forecast |
January | |
February | |
March | |
April | |
May | |
June | |
July | |
August | |
September | |
October | |
November | |
December | |
b. To be reasonably confident of meeting demand, Nina decides to use 4 standard errors of estimate for safety. How many additional units should be held to meet this level of confidence? (Do not round intermediate calculations. Round your answer to the nearest whole number.)
Additional units
Q2)
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 | DEMAND (UNITS) | ||
January | 4,210 | ||
February | 4,310 | ||
March | 4,010 | ||
April | 4,410 | ||
May | 5,010 | ||
June | 4,710 | ||
July | 5,310 | ||
August | 4,910 | ||
September | 5,410 | ||
October | 5,710 | ||
November | 6,310 | ||
December | 6,010 | ||
a. Using linear regression analysis, what would you estimate demand to be for each month next year? Using a spreadsheet, follow the general format in Exhibit 3.7. (Do not round intermediate calculations. Round your answers to 2 decimal places.)
Month | Forecast |
January | |
February | |
March | |
April | |
May | |
June | |
July | |
August | |
September | |
October | |
November | |
December | |
b. To be reasonably confident of meeting demand, Nina decides to use 4 standard errors of estimate for safety. How many additional units should be held to meet this level of confidence? (Do not round intermediate calculations. Round your answer to the nearest whole number.)
Additional units
Using linear regression analysis,
The results obtained are
Best-fit values
Slope 192.3 ± 22.57
Y-intercept3777 ± 166.1
X-intercept-19.64
1/Slope0.0052
95% Confidence Intervals
Slope142.0 to 242.6
Y-intercept3407 to 4147
X-intercept-28.95 to -14.16
Goodness of Fit
R square0.8790
Sy.x269.9
Is slope significantly non-zero?
F 72.62
DFn,DFd 1,10
P Value< 0.0001
Deviation from horizontal? Significant
Data
Number of XY pairs 12
Equation Y = 192.3*X + 3777 . we use this equation to calculate the future values. For January we take x= in the continuum as 13, February as 14 and so on
The table thus obtained is as follows
Month(Next year) | Forecast | |
Jan |
6276.9 | |
Feb | 6469.2 | |
Mar | 6661.5 | |
Apr |
|
|
May |
|
|
June |
|
|
July |
|
|
Aug |
|
|
Sept |
|
|
Oct |
|
|
Nov |
|
|
Dec |
|
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