Fresh Flour makes baking flour and sells its flour in 4 pound sacks or bags. The managers of Fresh Flour are considering whether the firm should make or buy the flour sacks. To make the sacks, Fresh Flour needs a $500,000 piece of equipment. Using this equipment, Fresh Flour can make a flour sack for $0.01 and, for simplicity, ignore taxes and assume that the $0.01 cost includes depreciation and
all other costs. Fresh Flour would finance the $500,000 investment using its own funds and, if it purchased the flour sacks from another firm, it would pay $0.19 a flour sack. The life span of the equipment is 10 years and it has no salvage value at the end of the ten years. The discount rate is 6 percent. How many flour sacks does Fresh Flour need each year in order for the net present value to be positive?
A) 259,666
B) 377,416
C) 352,589
D) 412,369
B) 377,416
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Refer to Table 18-3. Given the following exchange rates in the above table, what are the exchange rates stated as U.S. dollars per Danish krone and U.S. dollars per EU euro respectively?
A) 0.02 dollars per krone and 0.70 dollars per euro B) 0.05 dollars per krone and 1.30 dollars per euro C) 2.00 dollars per krone and 7.14 dollars per euro D) 0.20 dollars per krone and 1.43 dollars per euro
Consider the following regression model: y = 
0+
data-mathml="%3Cmath%20style%3D%22font%2Dfamily%3A%27Times%20New%20Roman%20Greek%27%22%20xmlns%3D%22http%3A%2F%2Fwww%2Ew3%2Eorg%2F1998%2FMath%2FMathML%22%3E%3Cmstyle%20mathsize%3D%2215px%22%3E%3Cmi%3E%26%23946%3B%3C%2Fmi%3E%3C%2Fmstyle%3E%3C%2Fmath%3E" src="@@PLUGINFILE@@/ppg__cognero__Ch_02_The_Simple_Regression_Model__media__90b98f2a-57e8-4e9f-a789-d7860323f681.PNG" style="vertical-align:middle;" />1x1 + u. Which of the following is a property of Ordinary Least Square (OLS) estimates of this model and their associated statistics?
A. The sum, and therefore the sample average of the OLS residuals, is positive.
B. The sum of the OLS residuals is negative.
C. The sample covariance between the regressors and the OLS residuals is positive.
D. The point (
) always lies on the OLS regression line.