The accompanying data file shows the square footage and associated property taxes for 20 homes in an affluent suburb 30 miles outside of New York City. Click here for the Excel Data File a. Estimate a home's property taxes as a linear function of the size of the home (measured by its square footage). Note: Round your answers to 2 decimal places. Property taxes = + Size b. What proportion of the sample variation in property taxes is explained by the home's size? Note: Round your answer into 2 decimal places. Proportion of the sample variation % c. What proportion of the sample variation in property taxes is unexplained by the home's size? Note: Round your answer into 2 decimal places. Proportion of the sample variation %
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Property_Taxes | Size |
21948 | 2492 |
17345 | 2514 |
18226 | 1894 |
15715 | 1105 |
43992 | 5656 |
33602 | 2561 |
15231 | 2173 |
16621 | 1984 |
18264 | 2071 |
16075 | 1280 |
15244 | 1354 |
35972 | 2994 |
31033 | 2871 |
42035 | 3357 |
14397 | 1591 |
38983 | 4014 |
25319 | 4050 |
22862 | 2454 |
16144 | 3545 |
29262 | 2797 |
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- The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?Overhead Costs Billable Hours 395000 2000 440000 3000 460000 4000 513000 5000 580000 6000 605000 7000 Develop a simple linear regression model between billable hours and overhead costs. Overhead Costsequals=enter your response hereplus+left parenthesis nothing right parenthesisenter your response heretimes×Billable Hours (Round the constant to one decimal place as needed. Round the coefficient to four decimal places as needed. Do not include the $ symbol in your answers.)A firm has modeled its experience with industrial accidents and found that the number of accidents per year is related to the number of employees by the regression equation Y = 6.6 + 0.098*X. R-Square is 0.72. The regression is based on 20 annual observations. The firm intends to employ 480 workers next year. How many accidents do you project? 47.04 accidents 8.66 accidents 53.64 accidents 72% of the 480 workers 28.56 accidents
- If you can can you show me in Excel? That is my question for 25 students Below you are given the examination scores of 25 students. 52 99 83 82 84 23 25 76 90 88 19 78 75 79 80 89 73 74 86 99 a. Calculate the mean for this data. b. Calculate a trimmed mean eliminating the obvious outliers. c. Now calculate the median for the data. Which of the above calculations do you regard as the best measure of ‘average’ class performance? Explain why.5, The total number of thousands of tons of coal produced per year over a 10-year period for a certain region is provided in the accompanying dataset. Use double exponential smoothing to determine which pairs of values for α and minimize MAD for this dataset. α=0.2, β=0.8; α=0.4, β=0.3; α=0.9, β=0.7 Which pair of values for α and β minimize MAD for this dataset? α=enter your response here and β=enter your response here (Type integers or decimals. Do not round.) Year Coal Production (thousands of tons) 1 434,325 2 420,421 3 439,039 4 477,196 5 504,186 6 526,958 7 546,817 8 564,876 9 556,711 10 570,977Lifang Wu owns an automated machine shop that makes precision auto parts. He has just compiled an input —output report for the grinding work center. Period 1 2 3 4 Total Planned input 90 90 95 95 Actual input 95 95 95 95 Deviation Planned output 85 85 85 85 Actual output 85 85 80 80 Deviation Initial backlog: 35 Part 2 For the given information related to "inputs," the values for deviation and total are: The deviation in period 2 = enter your response here units (enter your response as an integer, including a minus sign if necessary). Part 3 The deviation in period 4 = enter your response here units (enter your response as an integer, including a minus sign if…
- The following table shows quarterly sales (in thousand units) for a product over 4 years. The overall sales average for the entire 4 years is 126.0625 (thousand units).Fill in the missing values assuming there is no trend.Round seasonal indexes to 4 decimal places.Report Averages accurate to at most 2 decimal places.Report Actual sales ('000) accurate to the nearest integer. Year 1 Year 2 Year 3 Year 4 Average Seasonal Index Quarter 1 92 93 95 106 Quarter 2 105 106 105 101 Quarter 3 197 187 196 1.5211 Quarter 4 106 116 121 0.8865 PART BSuppose actual quarterly sales (in thousands) for Year 5 are 93, 123, 206, and 126 respectively. Assuming there is no trend, forecast sales for the four quarters of Year 5.Use seasonal indexes (rounded to 4 decimal places) from Part A.Report forecast answers as integers accurate to the nearest thousand.Quarter 1 forecast = thousandQuarter 2 forecast = thousandQuarter 3 forecast = thousandQuarter 4 forecast =…Interpret the coefficients of your regression model. Specifically, what does the fixed component of the model mean to the consulting firm? Interpret the fixed term, b 0b0, if appropriate. Choose the correct answer below. A. It is not appropriate to interpret b 0b0, because its value is the predicted billable hours for overhead costs of 0 dollars, but the firm cannot have overhead costs of 0 dollars associated with a client. B. The value of b 0b0 is the predicted overhead costs for 0 billable hours. C. It is not appropriate to interpret b 0b0, because its value is the predicted overhead costs for 0 billable hours, but someone with 0 billable hours would not actually be a client of the firm. D. For each increase of 1 unit in billable hours, the predicted overhead costs are estimated to increase by b 0b0. E. The value of b 0b0 is the predicted billable hours for an overhead cost of 0 dollars. F. For each increase of 1 unit in…Macomb Inc. used Excel to run a least-squares regression analysis on the production cost data resulting in the following output: Regression StatisticsMultiple R 0.9834 R Square 0.9596 Observations 30 Coefficients Standard Error T Stat P-ValueIntercept 174,980 61,580 2.84 0.021 Production units (X) 11.53 0.9265 12.44 0.000 What total cost would Macomb predict for a month in which production is 2,000 units? Multiple Choice $174,900 $63,433 $198,040 $23,037
- In case of a production company which produces 3 different products (RE1, RE2, RE3), we know the following information: Measuring Unit RE1 RE2 RE3 Quantity unit 3,000,000 4,000,000 5,000,000 Sales Price Euro/unit 2,500 3,000 3,500 Production Cost Euro/unit 1,500 1,500 1,500 Consumption Factor kg/unit 0.02 0.04 0.01 Tasks: a) Has a company scarce resource if the company has only 250 tons raw material? b) Calculate the optimal composition of products! c) Determine the estimated total sales!Lifang Wu owns an automated machine shop that makes precision auto parts. He has just compiled an input—output report for the grinding work center. Period 1 2 3 4 Total Planned input 70 70 85 85 Actual input 75 75 75 75 Deviation Planned output 75 75 75 75 Actual output 85 85 80 80 Deviation Initial backlog: 20 For the given information related to "inputs," the values for deviation and total are: The deviation in period 2 = units (enter your response as an integer, including a minus sign if necessary). Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.For this equation. Daniel and his family recently moved to California. Daniel wants to know which amusement park ticket package is best for his familyYour task is to recommend which ticket package Daniel and his family should purchase . You are working with Daniel's sister Amelia. Read the facts about Daniel's familyTable 1 shows the ticket packages and cost of parking for a local amusement park. In which what is the total cost to purchase a two day ticket for everyone in Daniel is family. (Image shown below)