You have been asked by your boss to predict what the hours of work by your employees would be following a proposed raise. you have had a flexible policy of workers choosing their hours and would like to determine whether the raise would have a huge impact on hours worked. you have the resultsof studies conducted for three other companies, which estimatelabor supply elasticities following raises at those companies. you decide to summarize the results of those studies in a manner that your boss can understand. currently, the average employee at your company works 2000 hours a year. fill in the blanks of the table.

Firm Estimated Predicted hrs worked for avg Predicted hrs worked for ave Elasticity employee following 5% inc in wage employee following 10% inc

At the beginning of the year, manufacturing overhead for the year was estimated to be $477,590. At the end of the year, actual direct labor-hours for the year were 29,000 hours, the actual manufacturing overhead for the year was $472,590, and manufacturing overhead for the year was overapplied by $110. If the predetermined overh

I have the following problem:
A critical piece of operational equipment contains 30 parts of the same type. The equipment operates 24 hours a day and the critical pieces have a predicted failure frequency of 10,000 hours.
If spares are procured as part of an EOQ policy with: cost per unit of $100, cost of preparation and ship

Compute the Predetermined Overhead Rate [LO] Harris Fabrics computes its predetermined overhead rate annually on the basis of direct labor hours. At the beginning of the year it estimated that its total manufacturing overhead would be $134,000 and the total direct labor would be 20,000 hours. Its actual total manufacturing overh

22. For the following data:
X y
1 2
4 7
3 5
2 1
5 14
3 7
a. Find the regression equation predicting Y from X.
b. Use the regression equation to find a predicted Y from each X.
c. Find the difference between actual Y value and the predicted Y value for each ind

Consider the following partial computer output from a simple linear regression analysis from the data provided in the attached document.
What is the estimated y-intercept?
What is the estimated slope?
Write the equation of the regression line.
What is the predicted value of y when x = 1,000?
Calculate the correlation

Caber Corporation applies manufacturing overhead on the basis of machine-hours. At the beginning of the most recent year, the company based its predetermined overhead rate on total estimated overhead of 60,600. Actual manufacturing overhead for the year amounted to 59,000 and actual machine-hours were 5,900. The company's predet

I need help with these questions.
1. Find the equation of the regression line for the given data. What is the predicted value of Y when X = -2? What is the predicted value of Y when X = 4?
X -5 -3 4 1 -1 -2 0 2 3 -4
Y -10 -8 9 1 -2 -6 -1 3 6 -8

1. Find the equation of the regression line for the given data. What is the predicted value of Y when X = -2? What is the predicted value of Y when X = 4?
X -5 -3 4 1 -1 -2 0 2 3 -4
Y -10 -8 9 1 -2 -6 -1 3 6 -8
2. The data below

Ken Howard, financial analyst at JVR Corporation, is examining the behavior of quarterly maintenance costs for budgeting purposes. Howard collects the following data on machine-hours worked and maintenance costs for the past 12 quarters:
Quarter Machine-Hours Maintenance Costs
1 - 90,000 $185,000
2 - 110,000 $220,000