question 22
Multiple Choice
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow:
Month January February March April May June July August September October November December Machine Hours2,5002,9001,9003,1003,8003,3004,1003,5002,0003,7004,7004,200Electricity Costs$18,40021,00013,50023,00028,25022,00024,75022,75015,50026,00031,00027,750
Summary Output Regression Statistics Multiple R R Squuare Adjusted R 2 Standard Error Observations 0.9650.9320.9251,425.1812.00
Intercept Machine Hours Coefficients 3,726.885.77 Standard Error 1,682.820.49 t Stat 2.2111.7 P-value 0.050.00 Lower 95%(22.69) 4.67 Upper 95%7,476.456.87
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The percent of the total variance that can be explained by the regression is:
Definitions:
Flexible Budget Amounts
Budgeted figures that can adjust based on changes in activity levels or other factors, unlike a static budget.
Variable Costs
Expenses that change in proportion to the volume of production or sales, including components like raw materials and direct labor costs.
Fixed Costs
Expenses that do not change with the level of goods or services produced within a certain time span.
Operating Income
The profit realized from a business's core operations, excluding deductions of interest and taxes.