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Jaxson Manufacturing Corporation’s has budgeted production for next year as follows: Quarter First Second Third Fourth Required production (units) 10,000 12,000 16,000 14,000 Four pounds of raw materials are required for each unit produced. Raw materials on hand at the start of the year total 4,000 pounds. The raw materials inventory at the end of each quarter should equal 10% of the next quarter’s production needs. Budgeted purchases of raw materials in the third quarter would be: 

A company is considering the purchase of a machine that would cost $440,000 and would last for 5 years, at the end of which, the machine would have a salvage value of $49,000. The machine would reduce labor and other costs by $123,000 per year. Additional working capital of $34,000 would be needed immediately, all of which would be recovered at the end of 5 years. The company requires a minimum pretax return of 10% on all investment projects. (Ignore income taxes.You are required to prepare a report that will show the calculations to determine the net present value. Negative amounts should be indicated by a minus sign. You can combine numbers that are to be multiplied by the same discount factor. Round the answer to the nearest whole dollar amount.Use the tables below to determine the appropriate discount factor(s).   a. What is the net present value of the purchase?b. Should the company purchase the machine?Present Value of $1; 1 ( 1 + r ) nPeriods4%5%6%7%8%9%10%11%12%10.9620.9520.9430.9350.9260.9170.9090.9010.89320.9250.9070.890.8730.8570.8420.8260.8120.79730.8890.8640.840.8160.7940.7720.7510.7310.71240.8550.8230.7920.7630.7350.7080.6830.6590.63650.8220.7840.7470.7130.6810.650.6210.5930.56760.790.7460.7050.6660.630.5960.5640.5350.50770.760.7110.6650.6230.5830.5470.5130.4820.45280.7310.6770.6270.5820.540.5020.4670.4340.40490.7030.6450.5920.5440.50.460.4240.3910.361100.6760.6140.5580.5080.4630.4220.3860.3520.322Present Value of an Annuity of $1 in Arrears; 1 r [ 1 – 1 ( 1 + r ) n ] Periods4%5%6%7%8%9%10%11%12%10.9620.9520.9430.9350.9260.9170.9090.9010.89321.8861.8591.8331.8081.7831.7591.7361.7131.6932.7752.7232.6732.6242.5772.5312.4872.4442.40243.633.5463.4653.3873.3123.243.173.1023.03754.4524.3294.2124.13.9933.893.7913.6963.60565.2425.0764.9174.7674.6234.4864.3554.2314.11176.0025.7865.5825.3895.2065.0334.8684.7124.56486.7336.4636.215.9715.7475.5355.3355.1464.96897.4357.1086.8026.5156.2475.9955.7595.5375.328108.1117.7227.367.0246.716.4186.1455.8895.65

Jaxson Corporation has not yet decided on the required rate of return to use in its capital budgeting. This lack of information will prevent Jackson from calculating a project’s:   Payback Net Present Value Internal Rate of Return A) No No No B) Yes Yes Yes C) No Yes No D) No Yes Yes

An employee of a delivery van company was involved in an accident with one of the corporation’s delivery vans. The company is either going to repair the damaged van or sell it as is and buy a comparable used van. Information related to this decision is provided below:   Initial cost of the damaged van $ 30,000   Accumulated depreciation to date on van $ 18,000   Salvage value of van immediately before crash. $ 9,000   Salvage value of van immediately after crash $ 1,000   Cost to repair damaged van $ 5,000   Cost of a comparable used van $ 10,000   Based on the information above, the delivery company would be financially better off:

The management of J is considering the following three investment projects:    Project CProject DProject EInvestment required$ 43,200$ 49,200$ 102,000Present value of cash inflows$ 47,952$ 57,072$ 111,180   Rank the projects according to the profitability index, from most profitable to least profitable.

In calculating the payback period where new equipment is replacing old equipment, any salvage value to be received on disposal of the old equipment should be added to the cost of the new equipment.

A company is investigating buying a small used aircraft to use in making airborne inspections of its above-ground pipelines. The aircraft would have a useful life of 5 years. The company uses a discount rate of 8% in its capital budgeting. The net present value of the investment, excluding the intangible benefits, is −$396,150. Present Value of $1; 1/( 1 + r ) n   Periods4%5%6%7%8%9%10%   10.9620.9520.9430.9350.9260.9170.909   20.9250.9070.890.8730.8570.8420.826   30.8890.8640.840.8160.7940.7720.751   40.8550.8230.7920.7630.7350.7080.683   50.8220.7840.7470.7130.6810.650.621   60.790.7460.7050.6660.630.5960.564   70.760.7110.6650.6230.5830.5470.513Present Value of an Annuity of $1 in Arrears; 1 r [ 1 – 1 ( 1 + r ) n ]Periods4%5%6%7%8%9%10%10.9620.9520.9430.9350.9260.9170.90921.8861.8591.8331.8081.7831.7591.73632.7752.7232.6732.6242.5772.5312.48743.633.5463.4653.3873.3123.243.1754.4524.3294.2124.13.9933.893.79165.2425.0764.9174.7674.6234.4864.35576.0025.7865.5825.3895.2065.0334.868Use the tables above to determine the appropriate discount factor(s).How large would the annual intangible benefit have to be to make the investment in the aircraft financially attractive? (Round your intermediate calculations and final answer to the nearest whole dollar amount.)

A study was conducted among U.S. adults to assess concerns about being able to afford out of pocket healthcare costs. The following statistical outputs present findings from a regression analysis of how concerned a person is about out of pocket healthcare costs. A scale (0 to 30, with 0=no concern to 30=extreme concern) was constructed to measure a person’s concern about out of pocket healthcare costs. The continuous, independent variables included years of education, annual income in dollars, family members needing financial support (family support needed), number of chronic health conditions, and self-reported health status (5=excellent, 4=very good, 3=good, 2=fair, 1=poor). What can you conclude about the overall significance of the regression model? Provide an interpretation of the adjusted R square for the regression model?  

ou have loaded a GeoDataFrame named county_shapes. You want to combine it with a standard Pandas DataFrame df that contains COVID-19 data. Which of the following statements about the merge operation merged_gdf = pd.merge(county_shapes, df, …) is TRUE?

You are iterating through sentences to capture specific sentiment metrics. Review the code below: for sentence in blob.sentences:    val = sentence.sentiment[0]    # … further processing What data does the variable val hold, and why?