Skyautumn998 just answer the question and you will get your points.

Bridgeport company began operations at the beginning of 2018. the following information pertains to this company. 1. pretax financial income for 2018 is $115,000. 2. the tax rate enacted for 2018 and future years is 40%. 3. differences between the 2018 income statement and tax return are listed below: (a) warranty expense accrued for financial reporting purposes amounts to $7,500. warranty deductions per the tax return amount to $2,200. (b) gross profit on construction contracts using the percentage-of-completion method per books amounts to $94,700. gross profit on construction contracts for tax purposes amounts to $67,100. (c) depreciation of property, plant, and equipment for financial reporting purposes amounts to $61,800. depreciation of these assets amounts to $75,700 for the tax return. (d) a $3,600 fine paid for violation of pollution laws was deducted in computing pretax financial income. (e) interest revenue recognized on an investment in tax-exempt municipal bonds amounts to $1,500. 4. taxable income is expected for the next few years. (assume (a) is short-term in nature; assume (b) and (c) are long-term in nature.) (a) prepare the reconciliation schedule for 2017 and future years. (b) prepare the journal entry to record income tax expense for 2017. (c) prepare the income tax expense section of the income statement beginning with “income before income taxes.” (d) determine how the deferred taxes will appear on the balance sheet at the end of 2017.

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)? $

)a business incurs the following costs per unit: labor $125/unit, materials $45/unit, and rent $250,000/month. if the firm produces 1,000,000 units a month, calculate the following: a. total variable costs b. total fixed costs c. total costs