Fit a linear trend equation by the method of least squares. Determine the predicted value of trend for 1982 and 1985.
Q: After plotting demand for four periods, an emergency room manager has concluded that a…
A: Given data is TAF for fifth period = 250
Q: The Lake Sharkey BBQ Pit serves slow cooked beef brisket by the pound. Based on historical sales…
A: The profit from selling one unit = Selling price- Cost = 23-14=9 Loss from one unit = Cost- salvage…
Q: In the past, Peter Kelle's tire dealership in Baton Rouge sold an average of 1,000 radials each…
A: THE ANSWER IS AS BELOW:
Q: Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown…
A: Formula used- 3-period moving average forecast=At-1+At-2+At-33 3-period weighted moving average…
Q: Assuming a linear trend, use the tabular method to derive values for: the slope the intercept…
A: THE ANSWER IS AS BELOW:
Q: Fit a linear trend equation by the method of least squares. Determine the predicted value of trend…
A: THE ANSWER IS AS BELOW:
Q: Lou Silva has owned and operated The Wellness Store for fifteen years. The company's year-end is…
A: Recapture is distinguished when the measure of UCC balance is not exactly the proceed [from your…
Q: please help me i will give good rating b) The following table shows the number of people who are…
A: Given data is
Q: Spring and Summer Fashions, a clothing producer, has generated a forecast for the next eight weeks.…
A: Steady production of 1,200 units is maintained. As the production rate per worker isn't given,…
Q: firm produces three products , A , B and C , for sale both in the domestic market and in the export…
A: The Projected Profit is the excess of Projected Sales over Projected Production Cost. Project…
Q: The demand data for Double T Computer Services appears below. The company wants you to forecast the…
A: THE ANSWER IS AS BELOW:
Q: forecast for weeks 7-24 using 6 week weighted moving average
A: Weighted moving average is a forecasting model which helps to identify the forecasting using the…
Q: After plotting the following demand data, a manager has concluded that a trend-adjusted exponential…
A: Given- α=0.6β=0.5 Month At (Actual) 1 208 2 219 3 232 4 244 5 258 6 268 7 285 8…
Q: The following table shows the actual demand observed over the last 11 years: Year 1 2 3 4 6. 7 8 10…
A:
Q: 7. Freight car loadings over a 12-year period at a busy port are as follows: Week Number Week Number…
A: Given data: Week Number 1 220 2 245 3 280 4 275 5 300 6 310 7 350 8 360 9 400…
Q: Quarterly boat sales over a two-year period are provided in the table below. Suppose we expect year…
A: Year 1: Average demand = 8+10+12+94=9.75 Year 2: Average demand = 8+11+14+104=10.75
Q: Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 a. Use α = 0.2 to…
A:
Q: With alpha = 0.8, the Exponential Smoothing (ES) forecast for Month 6 would be: A. 565 haircuts…
A: With alpha = 0.8, the Exponential Smoothing (ES) forecast for Month 6 would be:
Q: George Kyparisis owns a company that manufactures sailboats. Actual demand for George's sailboats…
A: The concept used here is forecasting using the Seasonal index method.
Q: SI Regression Model Seasons Q1 0.654 bo=12.25 Q2 1.982 b1=-0.27 Q3 0.762 Q4 1.596 The Adjusted…
A: Assumption: As the period of given data is not given so taking it for the period of 2019.
Q: George kyparisis owns a company that manufactures sailboats. Actual demand for Georges's sailboats…
A: Given data is
Q: Data collected on the yearly registration for a Six Sigma seminar at the Quality College are shown…
A: MAD and MAPE for the 4-year moving average, 4-year weighted moving average, and exponential…
Q: The following tabulations are actual sales of units for six months and a starting forecast in…
A:
Q: Freight car loadings over a 12-year period at a busy port are as follows:Week Number Week Number…
A: A)
Q: Café Michigan's manager, Gary Stark, suspects that demand for mocha latte coffees depends on the…
A: Linear Regression Assume X = Price Y = Number sold X Y XY X2 2.50…
Q: Calculate the forecasted registrations for years 2 through 12 using exponential smoothing, with a…
A: Forecasting is a technique used to predict future outcomes on the basis of past data. In business…
Q: Freight car loadings over an 18-week period at a busy port are as follows: Weeks Loadings (lbs)…
A: Let X denotes the week and Y denotes the number. Now calculate the following:
Q: A coffee shop owner wants to estimate demand for the next four quarters for hot chocolate. Sales…
A: Given, Quarter 1- 1.20 Quarter 2- 1.15 Quarter 3- 0.77 Quarter 4- 0.88
Q: The unemployment rates (in %) of Merrill County from January through July are:…
A: Forecasting is the process of estimating the future demand of sales using previous or historic data.
Q: A distributor uses the following equation for forecasting demand of ski goggles: Y = 834 + 18*t,…
A: seasonal forecast is obtained by multiplying the forecast with the relative values fo the periods.
Q: expecting to increase its annual sales for BMW- X5 in year 2021 by 10 % compared to year 2020 annual…
A: The question is related to the sales for 2021 based in the sales of 2020 on quarterly basis. It is…
Q: Lori Cook has developed the following forecasting model: y = 45.0 + 4.50x, where y = demand for Kool…
A: Given equation for the forecasting model, y=45+4.50×x y= Demand for Kol air conditioners x=the…
Q: Long-Life Insurance has developed a linear model that it uses to determine the amount of term life…
A: In the given regression equation y = insurance needed and x = current age of head of household
Q: DEMAND FOR FERTILIZER YEAR (1,000S OF BAGS) 1 4 2 6 3 4 4 5 5 10 6…
A: Since we only answer up to 3 sub-parts, we’ll answer the first 3. Please resubmit the question and…
Q: Café Michigan's manager, Gary Stark, suspects that demand for mocha latte coffees depends on the…
A: Price (x) Number Sold (y) xy x2 $2.70 760 2052 7.29 $3.40 515 1751 11.56 $2.10 990 2079 4.41…
Q: The number of students enrolled in Spring Valley Elementary school has been steadily increasing over…
A:
Q: You are given the following information for the Limassol District: Population 2020 Population growth…
A: The Demand - Supply Gap in 2022 is going to be an oversupply of 4100 houses. Since supply is greater…
Q: The Holt method (exponential smoothing with trend andwithout seasonality) is being used to forecast…
A: Compute the new base estimate: Hence, the new base estimate is 48.2.
Q: Months Month 1 Month 2 Month 3 Month 4 Month 5 Sales 20 25 32 35 38 Please use the weight 0.45 for…
A: Given data:
Q: 4.31 Emergency calls to the 911 system of Durham, North Carolina, for the past 24 weeks are shown in…
A: Given data is
Q: The number of students enrolled in Spring Valley Elementary school has been steadily increasing over…
A: Linear trend y = a+bx a = intercept b = slope x = time period y = forecast for demand for period x…
Q: 18. New car sales for a dealer in Cook County, Illinois, for the past year are shown in the…
A: b.
Q: The department manager is using a combination of methods to forecast sales of toasters at a local…
A: Weighted moving average means we have different weights and we calculate on previous months data as…
Q: In the past, Peter Kelle's tire dealership in Baton Rouge sold an average of 1,000 radials each…
A: The forecast is as below
Q: Khyber Teaching Hospital is considering the purchase of a new ambulance. The decision will rest…
A: Given data is Alpha = 0.5 Forecast for year 1 = 4000 miles
Q: Café Michigan's manager, Gary Stark, suspects that demand for mocha latte coffees depends on the…
A: Given data: X Y 2.60 770 3.60 505 2.00 975 4.20 250 3.10 315 4.00 490 19.50 3305
Q: An exponential smoothing is being used to forecast demand. Which of the following alpha value (or…
A: Answer: The exponential smoothing method is a weighted moving average method which calculates the…
Q: The following table shows the actual demand observed over the last 11 years:…
A: Given Information:
Q: A manager uses this equation to predict demand for landscaping services: Ft = 14 + 4t. Over the…
A: Given that: Period Demand 1 20 2 25 3 25 4 35 5 35 6 40 7 45 8 50
Q: Year 1 Demand Year 2 Demand Year 3 Demand 1 12 1 16 1 14 45 25 32 3 76 52 3 71 84 4 4 62 4 47 a.…
A: Since we only answer up to 3 sub-parts, we’ll answer the first 3. Please resubmit the question and…
- The product of steel scrap from 1968-77 is given below:
Year |
1968 |
1969 |
1970 |
1971 |
1972 |
1973 |
1974 |
1975 |
1976 |
1977 |
Production (1000 tons) |
3255 |
3793 |
3976 |
3925 |
4122 |
4529 |
4903 |
3879 |
4251 |
4539 |
- Fit a linear trend equation by the method of least squares.
- Determine the predicted value of trend for 1982 and 1985.
Step by step
Solved in 3 steps with 1 images
- Suppose that a regional express delivery service company wants to estimate the cost of shipping a package (Y) as a function of cargo type, where cargo type includes the following possibilities: fragile, semifragile, and durable. Costs for 15 randomly chosen packages of approximately the same weight and same distance shipped, but of different cargo types, are provided in the file P13_16.xlsx. a. Estimate a regression equation using the given sample data, and interpret the estimated regression coefficients. b. According to the estimated regression equation, which cargo type is the most costly to ship? Which cargo type is the least costly to ship? c. How well does the estimated equation fit the given sample data? How might the fit be improved? d. Given the estimated regression equation, predict the cost of shipping a package with semifragile cargo.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?The Tech power plant burns coal and natural gas to generate steam and electricity for all campus buildings. The annual coal consumption at the plant has increased annually for the past 6 years due to an aggressive campus building program. The following table shows the annual coal consumption: Year Coal Consumption (tons) 1 25000 2 23000 3 28000 4 35000 5 37000 6 42000 Develop a linear trend model to forecast coal consumption for the 7 th year. Don't answer by pen paper and don't use chatgpt otherwise we will give dounvote
- Freight car loadings over an 18-week period at a busy port are as follows:Weeks Loadings (lbs) Weeks Loadings (lbs) Weeks Loadings (lbs) 1 370 7 415 13 450 2 380 8 425 14 455 3 390 9 435 15 475 4 380 10 425 16 485 5 390 11 435 17 495 6 395 12 445 18 505a. Determine a linear trend line for expected freight car loadings.b. Use the above trend equation to predict expected loadings for Weeks 20 & 21.c. The manager intends to install new equipment when the volume exceeds 950 loadings per week. Assuming the current trend continues, in which week…Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table: 3 8 9 6 7 6 3 7 10 11 Year Year Forecast (000) 1 5 1 5 2 5 4 4 4 5 11 Registrations (000) Use exponential smoothing with a smoothing constant of 0.4 to forecast the registrations at the seminar for years 2 through 12. To begin the procedure, assume that the forecast for year 1 was 5,000 people signing up (round your responses to one decimal place): 2 3 5 6 7 8 10 16 9 11 12 10 D 11 12 a) What is the MAD? Mean absolute deviation based on the forecast developed using the exponential smoothing method (with a smoothing constant (x) = 0.4 and a starting forecast of F₁ = 5) is thousand registrations (round your response to one decimal place). b) What is the MSE? The mean squared error based on the forecast developed using the exponential smoothing method (with a smoothing constant (x) = 0.4 and a starting forecast of F₁ = 5) is (round your response to two decimal…Professor Z needs to allocate time among several tasks next week to include time for students' appointments. Thus, he needs to forecast the number of students who will seek appointments. He has gathered the following data: Week Number of students6 Weeks ago 515 Weeks ago 794 Weeks ago 833 Weeks ago 892 Weeks ago 71Last Week 93 What is this week's forecast using exponential smoothing with alpha = 0.3 , if the forecast for two weeks ago was 77 ? a. 75.2 b. 78.8 c. 69.86 d. 80.54
- The number of internal disk drives (in million) made at a plant in Taiwan during the past 5 years follows: Year Disk Drives 1 142 2 156 3 184 4 204 5 210 a) Using simple linear regression the forecast for the number of disk drives to be made next year= 234.4 disk drives b) The mean squared error (mse) when using simple linear regression=[___] drives^2 (round your response to one decimal place)The number of internal disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: Year Disk Drives 1 142 2 156 3 184 4 204 5 210 a) Using simple linear regression the forecast for the number of disk drives to be made next year= 234.4 disk drives b) The mean squared error when using simple linear regression = 24.64 drives2 c) The mean absolute percentage error (mape) when using simple linear regression= [___]% (round your response to 1 decimal place)The number of internal disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: Year Disk Drives 1 138 2 156 3 184 4 202 220 a) Using simple linear regression, the forecast for the number of disk drives to be made next year = 211 disk drives (round your response to one decimal place). b) The mean squared error (MSE) when using simple linear regression = drives- (round your response to one decimal place). c) The mean absolute percentage error (MAPE) when using simple linear regression = % (round your response to one decimal %3D place).
- The following gives the number of accidents that occurred on Florida State Highway 101 during the last 4 months: Month Number of Accidents Jan 30 Feb 48 Mar 60 Apr 90 Using the least-squares regression method, the trend equation for forecasting is (round your responses to two decimal places): ŷ = 0+0x 20Maria Exports Limited is a major garment export house based on China. The sales figures (in 1000 units) of a particular garment during the past 20 weeks are given in table below. 23.04 21.94 23.94 Week 1 23.68 2 3 4 5 6 7 8 9 10 35557548 11 12 13 14 15 16 17 18 19 20 Demand 21 24 18 22 27 23 Find the simple exponential smoothing forecast for all the 20 weeks and also forecast the demand for 21" week. Assume a = 0.2 and F₁ = 21. (Round to two decimals) 21 25 27 18 19 22 26 24 17 21 29 27 23 25The following gives the number of accidents that occurred on Florida State Highway 101 during the last 4 months: Month Number of Accidents Jan 25 Feb 40 Mar 70 Apr 90 Using the least-squares regression method, the trend equation for forecasting is (round your responses to two decimal places): ŷ=+x