1. QUESTION 1 ________ methods assume that what has occurred in the past will continue to occur in the future. Time series Regressio n Quantitati ve Qualitativ e 1 points QUESTION 2 1. ________ is the percentage of the variation in the dependent variable that results from the independent variable. Regression Coefficient of determination Correlation Linear regression 1 points 1. QUESTION 3 ________ is absolute error as a percentage of demand. Cumulative error MAD MAPD Average error 1 points QUESTION 4 1. ________ is a linear regression model relating demand to time. Linear trend Linear regression Forecast demand Linear equation 1 points 1. QUESTION 5 ________ are good for stable demand with no pronounced behavioral patterns. Longer-period moving averages Shorter-period moving averages Moving averages Weighted moving averages 1 points QUESTION 6 1. A ________ is a gradual, long-term, up-or-down movement of demand. seasonal pattern cycle trend prediction 1 points 1. QUESTION 7 A ________ is an up-and-down repetitive movement that repeats itself over a time span of more than 1 year. prediction seasonal pattern trend cyclical pattern 1 points QUESTION 8 1. A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. What is a three-period moving average forecast for the month of July? 47.3 3 46.1 0 45.3 8 44.2 9 1 points 1. QUESTION 9 A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. What is the three-period weighted moving average for July using the weights 0.5 (most recent), 0.3, and 0.2? 48.9 9 45.6 49.5 1 46.0 9 1 points QUESTION 10 1. A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. Using 1 to represent January, 2 to represent February, and so on, what is the intercept for the regression equation that predicts the pounds of supplies available? 0.55 2.74 59.5 5 8.87 1 points 1. QUESTION 11 A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. What is the forecast for July if exponential smoothing with an alpha=.04 generated a forecast of 43.0 for June? 41.2 5 40.6 4 43.1 6 42.8 8 1 points QUESTION 12 1. A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. What is the slope of the regression equation developed when the Sales data are used to predict the Pounds? 0.9 2 0.8 6 0.8 0 0.7 1 1 points 1. QUESTION 13 Coefficient of determination is the percentage of the variation in the ________ variable that results from the ________ variable. dependent, dependent independent, dependent dependent, independent independent, independent 1 points QUESTION 14 1. Consider the following demand and forecast. If MAD = 2 for the four periods under consideration, what is the forecast for period 4? 1 9 2 0 2 1 2 2 1 points 1. QUESTION 15 Consider the following graph of sales. Which of the following characteristics is exhibited by the data? trend only trend plus seasonal trend plus random None of these 1 points QUESTION 16 1. Consider the following graph of sales. Which of the following characteristics is exhibited by the data? trend only trend plus seasonal trend plus random seasonal only 1 points QUESTION 17 1. Consider the following graph of sales. Which of the following characteristics is exhibited by the data? trend only trend plus seasonal trend plus irregular seasonal 1 points 1. QUESTION 18 Given an actual demand of 59, a previous forecast of 64, and an alpha of .3, what would the forecast for the next period be using simple exponential smoothing? 36. 9 57. 5 60. 5 62. 5 1 points QUESTION 19 1. Given forecast errors of 6, 4, 0 and -2, what is the mean absolute deviation? 2 3 4 2.67 None of these 1 points 1. QUESTION 20 Given forecast errors of 6, 4, 0 and -2, what is the mean squared error? 14 18.67 16 12 None of these 1 points QUESTION 21 1. The following data represents quarterly sales of lawnmowers. What is the seasonal index for the third quarter? (Round to the nearest hundredth.) . 20 . 22 . 26 . 30 1 points 1. QUESTION 22 The following data represents quarterly sales of lawnmowers. What is the seasonal index for the fourth quarter? (Round to the nearest hundredth.) . 20 . 23 . 25 . 30 1 points QUESTION 23 1. In exponential smoothing, the closer alpha is to ________, the greater the reaction to the most recent demand. -1 0 1 -1 or 1 1 points 1. QUESTION 24 Which of the following possible values of alpha would cause exponential smoothing to respond the most slowly to sudden changes in forecast errors? .01 .50 .90 3.1 4 1 points 1. QUESTION 25 The manager of "Skis 4 U" is preparing a forecast for January of 2016. Demand exhibits both trend and seasonality. A trend equation to estimate annual demand has been generated using annual demand for the past 12 years (from 2004 through 2015). The equation is?y?= 4375 + 800X, where X=1 represents year 2004. The seasonal factor for January is computed to be 0.23. Make a seasonally adjusted forecast for demand in January 2016. Round off your answer to the nearest integer. 3,39 8 4,58 3 5,66 8 6,76 9 1 points 1. QUESTION 26 Given the following data on the number of pints of ice cream sold at a local ice cream store for a 6-period time frame: Use a 2-period moving average to forecast demand for period 7. 227. 5 275 280 290 1 points 1. QUESTION 27 Given the following data on the number of pints of ice cream sold at a local ice cream store for a 6-period time frame: Use a 3-period moving average to forecast demand for period 7. 283.3 3 280 290 310 1 points 1. QUESTION 28 Given the following data on the number of pints of ice cream sold at a local ice cream store for a 6-period time frame: If the forecast for period 5 is equal to 275, use exponential smoothing to compute a forecast for period 7 if = .40. 273 277 267. 8 286. 2 1 points 1. QUESTION 29 ________ moving averages react more slowly to recent demand changes than do ________ moving averages. Longer-period, shorterperiod Shorter-period, longerperiod Longer-period, longerperiod Shorter-period, shorterperiod 1 points QUESTION 30 1. ________ has become increasingly crucial to compete in the modern international business environment. The Delphi method Technological forecasting Prediction Exponential smoothing 1. QUESTION 1 ________ methods assume that what has occurred in the past will continue to occur in the future. Time series Regressio n Quantitati ve Qualitativ e 1 points QUESTION 2 1. ________ is the percentage of the variation in the dependent variable that results from the independent variable. Regression Coefficient of determination Correlation Linear regression 1 points 1. QUESTION 3 ________ is absolute error as a percentage of demand. Cumulative error MAD MAPD Average error 1 points QUESTION 4 1. ________ is a linear regression model relating demand to time. Linear trend Linear regression Forecast demand Linear equation 1 points 1. QUESTION 5 ________ are good for stable demand with no pronounced behavioral patterns. Longer-period moving averages Shorter-period moving averages Moving averages Weighted moving averages 1 points QUESTION 6 1. A ________ is a gradual, long-term, up-or-down movement of demand. seasonal pattern cycle trend prediction 1 points 1. QUESTION 7 A ________ is an up-and-down repetitive movement that repeats itself over a time span of more than 1 year. prediction seasonal pattern trend cyclical pattern 1 points QUESTION 8 1. A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. What is a three-period moving average forecast for the month of July? 47.3 3 46.1 0 45.3 8 44.2 9 1 points 1. QUESTION 9 A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. What is the three-period weighted moving average for July using the weights 0.5 (most recent), 0.3, and 0.2? 48.9 9 45.6 49.5 1 46.0 9 1 points QUESTION 10 1. A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. Using 1 to represent January, 2 to represent February, and so on, what is the intercept for the regression equation that predicts the pounds of supplies available? 0.55 2.74 59.5 5 8.87 1 points 1. QUESTION 11 A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. What is the forecast for July if exponential smoothing with an alpha=.04 generated a forecast of 43.0 for June? 41.2 5 40.6 4 43.1 6 42.8 8 1 points QUESTION 12 1. A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. What is the slope of the regression equation developed when the Sales data are used to predict the Pounds? 0.9 2 0.8 6 0.8 0 0.7 1 1 points 1. QUESTION 13 Coefficient of determination is the percentage of the variation in the ________ variable that results from the ________ variable. dependent, dependent independent, dependent dependent, independent independent, independent 1 points QUESTION 14 1. Consider the following demand and forecast. If MAD = 2 for the four periods under consideration, what is the forecast for period 4? 1 9 2 0 2 1 2 2 1 points 1. QUESTION 15 Consider the following graph of sales. Which of the following characteristics is exhibited by the data? trend only trend plus seasonal trend plus random None of these 1 points QUESTION 16 1. Consider the following graph of sales. Which of the following characteristics is exhibited by the data? trend only trend plus seasonal trend plus random seasonal only 1 points QUESTION 17 1. Consider the following graph of sales. Which of the following characteristics is exhibited by the data? trend only trend plus seasonal trend plus irregular seasonal 1 points 1. QUESTION 18 Given an actual demand of 59, a previous forecast of 64, and an alpha of .3, what would the forecast for the next period be using simple exponential smoothing? 36. 9 57. 5 60. 5 62. 5 1 points QUESTION 19 1. Given forecast errors of 6, 4, 0 and -2, what is the mean absolute deviation? 2 3 4 2.67 None of these 1 points 1. QUESTION 20 Given forecast errors of 6, 4, 0 and -2, what is the mean squared error? 14 18.67 16 12 None of these 1 points QUESTION 21 1. The following data represents quarterly sales of lawnmowers. What is the seasonal index for the third quarter? (Round to the nearest hundredth.) . 20 . 22 . 26 . 30 1 points 1. QUESTION 22 The following data represents quarterly sales of lawnmowers. What is the seasonal index for the fourth quarter? (Round to the nearest hundredth.) . 20 . 23 . 25 . 30 1 points QUESTION 23 1. In exponential smoothing, the closer alpha is to ________, the greater the reaction to the most recent demand. -1 0 1 -1 or 1 1 points 1. QUESTION 24 Which of the following possible values of alpha would cause exponential smoothing to respond the most slowly to sudden changes in forecast errors? .01 .50 .90 3.1 4 1 points 1. QUESTION 25 The manager of "Skis 4 U" is preparing a forecast for January of 2016. Demand exhibits both trend and seasonality. A trend equation to estimate annual demand has been generated using annual demand for the past 12 years (from 2004 through 2015). The equation is?y?= 4375 + 800X, where X=1 represents year 2004. The seasonal factor for January is computed to be 0.23. Make a seasonally adjusted forecast for demand in January 2016. Round off your answer to the nearest integer. 3,39 8 4,58 3 5,66 8 6,76 9 1 points 1. QUESTION 26 Given the following data on the number of pints of ice cream sold at a local ice cream store for a 6-period time frame: Use a 2-period moving average to forecast demand for period 7. 227. 5 275 280 290 1 points 1. QUESTION 27 Given the following data on the number of pints of ice cream sold at a local ice cream store for a 6-period time frame: Use a 3-period moving average to forecast demand for period 7. 283.3 3 280 290 310 1 points 1. QUESTION 28 Given the following data on the number of pints of ice cream sold at a local ice cream store for a 6-period time frame: If the forecast for period 5 is equal to 275, use exponential smoothing to compute a forecast for period 7 if = .40. 273 277 267. 8 286. 2 1 points 1. QUESTION 29 ________ moving averages react more slowly to recent demand changes than do ________ moving averages. Longer-period, shorterperiod Shorter-period, longerperiod Longer-period, longerperiod Shorter-period, shorterperiod 1 points QUESTION 30 1. ________ has become increasingly crucial to compete in the modern international business environment. The Delphi method Technological forecasting Prediction Exponential smoothing QUESTION 1 1. ________ methods assume that what has occurred in the past will continue to occur in the future. Time series Regression Quantitative Qualitative 1 points QUESTION 2 1. ________ is the percentage of the variation in the dependent variable that results from the independent variable. Regression Coefficient of determination Correlation Linear regression 1 points QUESTION 3 1. ________ is absolute error as a percentage of demand. Cumulative error MAD MAPD Average error 1 points QUESTION 4 1. ________ is a linear regression model relating demand to time. Linear trend Linear regression Forecast demand Linear equation 1 points QUESTION 5 1. ________ are good for stable demand with no pronounced behavioral patterns. Longer-period moving averages Shorter-period moving averages Moving averages Weighted moving averages 1 points QUESTION 6 1. A ________ is a gradual, long-term, up-or-down movement of demand. seasonal pattern cycle trend prediction 1 points QUESTION 7 1. A ________ is an up-and-down repetitive movement that repeats itself over a time span of more than 1 year. prediction seasonal pattern trend cyclical pattern 1 points QUESTION 8 1. A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. Data is missing for this question, submit here and repost through reply. You do not need reject the answer for this. What is a three-period moving average forecast for the month of July? 47.33 46.10 45.38 44.29 1 points QUESTION 9 1. A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. What is the three-period weighted moving average for July using the weights 0.5 (most recent), 0.3, and 0.2? 48.99 45.6 49.51 46.09 1 points QUESTION 10 1. A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. Using 1 to represent January, 2 to represent February, and so on, what is the intercept for the regression equation that predicts the pounds of supplies available? 0.55 -2.74 59.55 8.87 1 points QUESTION 11 1. A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. What is the forecast for July if exponential smoothing with an alpha=.04 generated a forecast of 43.0 for June? 41.25 40.64 43.16 42.88 1 points QUESTION 12 1. A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. What is the slope of the regression equation developed when the Sales data are used to predict the Pounds? 0.92 0.86 0.80 0.71 1 points QUESTION 13 1. Coefficient of determination is the percentage of the variation in the ________ variable that results from the ________ variable. dependent, dependent independent, dependent dependent, independent independent, independent 1 points QUESTION 14 1. Consider the following demand and forecast. If MAD = 2 for the four periods under consideration, what is the forecast for period 4? 19 20 21 22 1 points QUESTION 15 1. Consider the following graph of sales. Which of the following characteristics is exhibited by the data? trend only trend plus seasonal trend plus random None of these 1 points QUESTION 16 1. Consider the following graph of sales. Which of the following characteristics is exhibited by the data? trend only trend plus seasonal trend plus random seasonal only 1 points QUESTION 17 1. Consider the following graph of sales. Which of the following characteristics is exhibited by the data? trend only trend plus seasonal trend plus irregular seasonal 1 points QUESTION 18 1. Given an actual demand of 59, a previous forecast of 64, and an alpha of .3, what would the forecast for the next period be using simple exponential smoothing? 36.9 57.5 60.5 62.5 1 points QUESTION 19 1. Given forecast errors of 6, 4, 0 and -2, what is the mean absolute deviation? 2 3 4 2.67 None of these 1 points QUESTION 20 1. Given forecast errors of 6, 4, 0 and -2, what is the mean squared error? 14 18.67 16 12 None of these 1 points QUESTION 21 1. The following data represents quarterly sales of lawnmowers. What is the seasonal index for the third quarter? (Round to the nearest hundredth.) .20 .22 .26 .30 Sorry but I got 1.2 1 points QUESTION 22 1. The following data represents quarterly sales of lawnmowers. What is the seasonal index for the fourth quarter? (Round to the nearest hundredth.) .20 .23 .25 .30 Sorry but I got 1.02 1 points QUESTION 23 1. In exponential smoothing, the closer alpha is to ________, the greater the reaction to the most recent demand. -1 0 1 -1 or 1 1 points QUESTION 24 1. Which of the following possible values of alpha would cause exponential smoothing to respond the most slowly to sudden changes in forecast errors? .01 .50 .90 3.14 1 points 1. QUESTION 25 The manager of "Skis 4 U" is preparing a forecast for January of 2016. Demand exhibits both trend and seasonality. A trend equation to estimate annual demand has been generated using annual demand for the past 12 years (from 2004 through 2015). The equation is?y?= 4375 + 800X, where X=1 represents year 2004. The seasonal factor for January is computed to be 0.23. Make a seasonally adjusted forecast for demand in January 2016. Round off your answer to the nearest integer. 3,398 4,583 5,668 6,769 1 points QUESTION 26 1. Given the following data on the number of pints of ice cream sold at a local ice cream store for a 6-period time frame: Use a 2-period moving average to forecast demand for period 7. 227.5 275 280 290 1 points QUESTION 27 1. Given the following data on the number of pints of ice cream sold at a local ice cream store for a 6-period time frame: Use a 3-period moving average to forecast demand for period 7. 283.33 280 290 310 1 points QUESTION 28 1. Given the following data on the number of pints of ice cream sold at a local ice cream store for a 6-period time frame: If the forecast for period 5 is equal to 275, use exponential smoothing to compute a forecast for period 7 if = .40. 273 277 267.8 286.2 1 points QUESTION 29 1. ________ moving averages react more slowly to recent demand changes than do ________ moving averages. Longer-period, shorter-period Shorter-period, longer-period Longer-period, longer-period Shorter-period, shorter-period 1 points QUESTION 30 1. ________ has become increasingly crucial to compete in the modern international business environment. The Delphi method Technological forecasting Prediction Exponential smoothing