Example of business operations training.​

In a macroeconomic context, what are implicit liabilities? money owed to people possessing government issued bonds. the amount of money that firms collectively owe to shareholders. money that the government has promised to pay in the future. payments that the federal government undertakes only during periods of recession. which of the choices is a significant implicit liability in the united states? military spending education spending national science foundation spending social security

A) plot the m1 and m2 money stock in the us from 1990-2015. (hint: you may use the data tools provided by fred.) (b) plot the nominal interest rate from 1960 to 2014. (hint: you can either use the daily interest rates for selected u.s. treasury, private money market and capital market instruments from or the effective federal funds rate fromfred.) (c) the consumer price index (cpi) is a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services. intuitively, the cpi represents the cost of living or the average price level. plot the cpi from 1960 to 2013.(d) the inflation rate is the yearly percentage change in the average price level. in practice, we usually use the percentage change in the cpi to compute the inflation rate. plot the inflation rate from 1960 to 2013.(e) explain the difference between the ex-ante and ex-post real interest rate. use the fisher equation to compute the ex-post real interest rate. plot the nominal interest rate and the ex-post real interest rate from 1960 to 2013 in the same graph.

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)? $