The owner of an air conditioner business wants to investigate the relationship between the weekly number of air conditioners sold, temperature and the seasons of the year.
A random sample of 14 weeks is taken, with the average temperature of that week (in degrees Celsius) and the quarter from which that week belonged, noted.
There are three indicator variables, March, September and December.
Excel is used to generate the following multiple linear regression output. SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted RSquare Standard Error Observations ANOVA Regression Residual Total Intercept Temperature March September Deomber 0.990.970.964.5414.00 df 4.009.0013.00 Coefficients −17.941.001.017.2227.87SS6999.27185.587184.86 Standard Error 8.540.354.605.586.55MS1749.8220.62 tStat −2.102.840.221.294.26F84.86 P-value 0.070.020.830.230.00 Significance 0.00 Lower 95% −37.270.20−9.39−5.4013.06 Upper 95%1.381.7911.4019.8442.68 Test the significance of the overall regression equation.
Inventory Period
The average time it takes for a company to turn its inventory into sales, indicating the efficiency of inventory management.
Commercial Paper
An unsecured, short-term debt instrument issued by corporations, typically used for the financing of payroll, accounts payable, and inventories.
Short-term Finance
Financing options intended for a period typically less than one year, used to address immediate operational needs.