question 9
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 Statistic 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
-
The correlation coefficient for the regression equation for electricity costs is:
Comprehend the importance of clarifying behavior in reducing role ambiguity and enhancing task performance.
Analyze the relationship between leader behavior categories and their effectiveness.
Understand the significance of recognizing leadership in strengthening behavior and task commitment.
Evaluate the challenges in categorizing and researching leadership behaviors and theorizing about leadership effectiveness.
Definitions:
Annually Compounded
Interest on an investment or loan calculated once per year, including interest on the initial amount and all previously accumulated interest.
Effective Rate
The actual interest rate of an investment or loan when compounding interest is taken into account, differing from the nominal rate by including the effects of compounding.
Financial Position
A snapshot of the resources, obligations, and the net worth of an individual or organization at a specific point in time.
Nominal Rate
The stated interest rate of a loan or investment, not taking into account the effect of compounding.