As a group, U. S. consumers have no income response for their consumption of ice cream so that the income elasticity of demand for ice cream equals zero. Does this mean that the change in ice cream consumption that results from a price increase is entirely composed of the substitution effect?

Ming chen began a professional practice on june 1 and plans to prepare financial statements at the end of each month. during june, ming chen (the owner) completed these transactions. a. owner invested $61,000 cash in the company along with equipment that had a $25,000 market value. b. the company paid $1,900 cash for rent of office space for the month. c. the company purchased $15,000 of additional equipment on credit (payment due within 30 days). d. the company completed work for a client and immediately collected the $2,100 cash earned. e. the company completed work for a client and sent a bill for $7,000 to be received within 30 days. f. the company purchased additional equipment for $5,500 cash. g. the company paid an assistant $3,000 cash as wages for the month. h. the company collected $5,200 cash as a partial payment for the amount owed by the client in transaction e. i. the company paid $15,000 cash to settle the liability created in transaction c. j. owner withdrew $1,500 cash from the company for personal use. required: enter the impact of each transaction on individual items of the accounting equation. (enter decreases to account balances with a minus sign.)

Financial information that is capable of making a difference in a decision is

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)? $