On January 1, 2021, Kendall Inc. began construction of an automated cattle feeder system. The system was finished and ready for use on September 30, 2022. Expenditures on the project were as follows:
January 1, 2021 $ 200,000
September 1, 2021 $ 300,000
December 31, 2021 $300,000
March 31, 2022 $ 300,000
September 30,2022 $200,000

Kendall borrowed $750,000 on a construction loan at 12% interest on January 1, 2021. This loan was outstanding throughout the construction period. The company had $4,500,000 in 9% bonds payable outstanding in 2021 and 2022. Average accumulated expenditures for 2021 was:

The text states, “the committee anticipates that it will be appropriate to raise the target range for the federal funds rate when it has seen further improvement in the labor market….” why would the committee raise the federal funds rate as the labor market improves?

Steele bicycle manufacturing company currently produces the handlebars used in manufacturing its bicycles, which are high-quality racing bikes with limited sales. steele produces and sells only 10,000 bikes each year. due to the low volume of activity, steele is unable to obtain the economies of scale that larger producers achieve. for example, steele could buy the handlebars for $31 each: they cost $34 each to make. the following is a detailed breakdown of current production costs: after seeing these figures, steele's president remarked that it would be foolish for the company to continue to produce the handlebars at $34 each when it can buy them for $31 each. calculate the total relevant cost. do you agree with the president's conclusion?

An important application of regression analysis in accounting is in the estimation of cost. by collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. consider the following sample of production volumes and total cost data for a manufacturing operation. production volume (units) total cost ($) 400 4000 450 5000 550 5400 600 5900 700 6400 750 7000 compute b 1 and b 0 (to 2 decimals if necessary). b 1 b 0 complete the estimated regression equation (to 2 decimals if necessary). = + x what is the variable cost per unit produced (to 1 decimal)? $ compute the coefficient of determination (to 4 decimals). note: report r 2 between 0 and 1. r 2 = what percentage of the variation in total cost can be explained by the production volume (to 2 decimals)? % the company's production schedule shows 500 units must be produced next month. what is the estimated total cost for this operation (to 2 decimals)? $