We Pay Insurance Co. will pay you $1,425 each quarter for 26 years. You want to earn a minimum interest rate of .98 percent per quarter. What is the most you are willing to pay today for these payments?

We Pay Insurance Co. will pay you $1,350 each quarter for 23 years. You want to earn a minimum interest rate of .95 percent per quarter. What is the most you are willing to pay today for these payments?

We Pay Insurance Co. will pay you $1,125 each quarter for 25 years. You want to earn a minimum interest rate of .86 percent per quarter. What is the most you are willing to pay today for these payments?

We Pay Insurance Co. will pay you $1,100 each quarter for 24 years. You want to earn a minimum interest rate of .85 percent per quarter. What is the most you are willing to pay today for these payments?

Sales Budget

XYZ Company 2018 sales forecast is as follows:

Quarter 1: 7,000 Product Ace units. Quarter 2: 9,000 Product Ace units. Quarter 3: 10,000 Product Ace units. Quarter 4: 12,000 Product Ace units

Each unit sells for $60

Production Budget

The January 1, 2018 beginning inventory of Product Ace is 4,000 units. Management desires an ending inventory each quarter equal to 30% of the next Quarter's sales. Sales in the first and second quarter of 2019 are expected to be 10% higher than sales in the same quarter in 2018.

Direct Materials Budget

Each unit requires 3 pounds of raw materials costing $1 per pound. On December 31, 2017 the ending raw materials inventory was 1,000 pounds. Management wants to have raw materials inventory at the end of each quarter equal to 15% of the next quarter's production requirements.

Direct Labor Budget

Each unit requires 2.5 hours of direct labor. Wage rates are expected to be $10 per hour for the year.

Manufacturing overhead budget

Relevant data consists of the following:

Variable overhead costs per direct labor hour: indirect materials: $0.90; indirect labor: $1.40; and maintenance: $0.60.

Fixed overhead costs per quarter: supervisory salaries: $30,000; depreciation: $10,000 and property taxes on factory: $15,000.

Round the predetermined overhead rate to two decimal places.

Selling and administrative expense budget

Variable costs per dollar of sales: sales commission 4%; delivery expense 1%; advertising 55; fixed costs per quarter: sales salaries $11,000; depreciation $3,000; insurance $1,500

Prepare each budget listed above by quarter and then prepare a budgeted income statement for the year 2018. Round the cost per unit to two decimal places. Round cost of goods sold to the nearest dollar assume interest expense to be $210,000. Assume the income tax rate to be 25%.

On January 1, 2020, Linen Corp. issued $ 540,000 (face value), 10% annual interest, ten-year bonds at 97. The bonds are callable at 103. Linen has recorded amortization of the bond premium by the straight-line method. On December 31, 2025, Linen repurchased $ 200,000 of the bonds in the open market at 103. Bond interest expense and premium amortization have not been recorded for 2025.

Prepare the journal entries for December 31, 2025.

The expenditure approach to calculating GDP adds up spending only on final goods and services to:

a. get an accurate measure of changes in the price level during the time period in question.

b. account for the fact that domestic resources may work and produce in foreign countries.

c. avoid the problem of double counting, and this overstating the value of production in the economy.

d. eliminate the effect of inflation on the value of output.

Please add why!

An economist with a major bank wants to learn, quantitatively, how much spending on luxury goods and services can be explained based on consumers’ perception about the current state of the economy and what do they expect in the near future (6 months ahead).  Consumers, of all income and wealth classes, were surveyed.  Every year, 1500 consumers were interviewed.  The bank having all of the data from the 1500 consumers interviewed every year, computed the average level of consumer confidence (an index ranging from 0 to 100, 100 being absolutely optimistic) and computed the average dollar amount spent on luxuries annually.  Below is the data shown for the last 24 years.

Date                 X                     Y (in thousands of dollars)

1994                79.1                 55.6

1995                79                    54.8

1996                80.2                 55.4

1997                80.5                 55.9

1998                81.2                 56.4

1999                80.8                 57.3

2000                81.2                 57

2001                80.7                 57.5

2002                80.3                 56.9

2003                79.4                 55.8

2004                78.6                 56.1

2005                78.3                 55.7

2006                78.3                 55.7

2007                77.8                 55

2008                77.7                 54.4

2009                77.6                 54

2010                77.6                 56

2011                78.5                 56.7

2012                78.3                 56.3

2013                78.5                 57.2

2014                78.9                 57.8

2015                79.8                 58.7

2016                80.4                 59.3

2017                80.7                 59.9

Question:

1. Construct the linear regression model for the dollar amount spent on luxury goods and services.

An economist with a major bank wants to learn, quantitatively, how much spending on luxury goods and services can be explained based on consumers’ perception about the current state of the economy and what do they expect in the near future (6 months ahead).  Consumers, of all income and wealth classes, were surveyed.  Every year, 1500 consumers were interviewed.  The bank having all of the data from the 1500 consumers interviewed every year, computed the average level of consumer confidence (an index ranging from 0 to 100, 100 being absolutely optimistic) and computed the average dollar amount spent on luxuries annually.  Below is the data shown for the last 24 years.

Date                 X                     Y (in thousands of dollars)

1994                79.1                 55.6

1995                79                    54.8

1996                80.2                 55.4

1997                80.5                 55.9

1998                81.2                 56.4

1999                80.8                 57.3

2000                81.2                 57

2001                80.7                 57.5

2002                80.3                 56.9

2003                79.4                 55.8

2004                78.6                 56.1

2005                78.3                 55.7

2006                78.3                 55.7

2007                77.8                 55

2008                77.7                 54.4

2009                77.6                 54

2010                77.6                 56

2011                78.5                 56.7

2012                78.3                 56.3

2013                78.5                 57.2

2014                78.9                 57.8

2015                79.8                 58.7

2016                80.4                 59.3

2017                80.7                 59.9

Question:

1. Measure the strength of the linear association between consumers’ moods and the dollar amounts spent on luxury items.

An economist with a major bank wants to learn, quantitatively, how much spending on luxury goods and services can be explained based on consumers’ perception about the current state of the economy and what do they expect in the near future (6 months ahead).  Consumers, of all income and wealth classes, were surveyed.  Every year, 1500 consumers were interviewed.  The bank having all of the data from the 1500 consumers interviewed every year, computed the average level of consumer confidence (an index ranging from 0 to 100, 100 being absolutely optimistic) and computed the average dollar amount spent on luxuries annually.  Below is the data shown for the last 24 years.

Date                 X                     Y (in thousands of dollars)

1994                79.1                 55.6

1995                79                    54.8

1996                80.2                 55.4

1997                80.5                 55.9

1998                81.2                 56.4

1999                80.8                 57.3

2000                81.2                 57

2001                80.7                 57.5

2002                80.3                 56.9

2003                79.4                 55.8

2004                78.6                 56.1

2005                78.3                 55.7

2006                78.3                 55.7

2007                77.8                 55

2008                77.7                 54.4

2009                77.6                 54

2010                77.6                 56

2011                78.5                 56.7

2012                78.3                 56.3

2013                78.5                 57.2

2014                78.9                 57.8

2015                79.8                 58.7

2016                80.4                 59.3

2017                80.7                 59.9

Question:

1. Do you think that measuring the level of optimism is a good predictor for trying to forecast future spending on luxury items?  Explain why or why not.