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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)? $

Salt corporation's contribution margin ratio is 78% and its fixed monthly expenses are $30,000. assume that the company's sales for may are expected to be $89,000. required: estimate the company's net operating income for may, assuming that the fixed monthly expenses do not change.

Determine if the following statements are true or false. an increase in government spending can crowd out private investment. an improvement in the budget balance increases the demand for financial capital. an increase in private consumption may crowd out private investment. lower interest rates can lead to private investment being crowded out. a trade balance in sur+ increases the supply of financial capital. if private savings is equal to private investment, then there is neither a budget sur+ nor a budget deficit.