The purpose of the blocking factor in randomized block ANOVA is to ________________
A) increase some of the variability in the blocking factor which may allow us to better detect a difference due to the main factor
B) remove some of the variability in the blocking factor which may allow us to better detect a difference due to the main factor
C) increase some of the variability in the main factor which may allow us to better detect a difference due to the blocking factor
D) remove some of the variability in the main factor which may allow us to better detect a difference due to the blocking factor
B
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Green Garden Inc bills and pays selling and administrative expenses the month after they occur. Selling and administrative expenses have both a fixed and a variable component. The fixed component is a constant $47,000 a month. The variable component equals 15 percent of revenues. Given revenues of $800,000 for March, $950,000 for April, and $925,000 for May, what would be the budgeted selling and
administrative expenses that would be paid in April? A) $167,000 B) $142,500 C) $189,500 D) $185,750
Which of the following is a criterion used in scaling factors?
A. ensure the degree is separated from the job B. ensure the use of more than five degrees per factor C. limit degrees to those necessary to distinguish between jobs D. have no more than five degrees per factor E. use sophisticated terminology in order to be perceived as important
Nagel Equipment has a beta of 0.88 and an expected dividend growth rate of 4.00% per year. The T-bill rate is 4.00%, and the T-bond rate is 5.25%. The annual return on the stock market during the past 4 years was 10.25%. Investors expect the average annual future return on the market to be 14.75%. Using the SML, what is the firm's required rate of return? Do not round your intermediate calculations.
A. 13.61% B. 11.57% C. 12.25% D. 14.70% E. 12.11%
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:MonthMachine HoursElectricity CostsJanuary2,500$18,400 February2,900 21,000 March1,900 13,500 April3,100 23,000 May3,800 28,250 June3,300 22,000 July4,100 24,750 August3,500 22,750 September2,000 15,500 October3,700 26,000 November4,700 31,000 December4,200 27,750 Summary OutputRegression StatisticsMultiple R0.965R Square0.932Adjusted R20.925Standard Error1,425.18Observations12.00 CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Intercept3,726.881,682.822.210.05(22.69)7,476.45Machine Hours5.770.4911.70.004.676.87The correlation
coefficient for the regression equation for electricity costs is: A. 0.982. B. 0.925. C. 0.932. D. 0.965.