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semesters has been 122, 128...

1. Enrollment in a particular class for the last four semesters has been 122, 128, 100, and 155 (listed from oldest to most recent). The best forecast of enrollment next semester, based on a three-semester moving average, would be 116.7. 126.3. 127.7.

135.0. Question 2.2. The condition of an independent variable being correlated to one or more other independent variables is referred to as: multicollinearity. statistical significance. linearity. nonlinearity. Question 3.3. Which of the following statements

about scatter diagrams is true? Time is always plotted on the y-axis. It can depict the relationship among three variables simultaneously. It is helpful when forecasting with qualitative data. The variable to be forecasted is placed on the y-axis. Question

4.4. The diagram below illustrates data with a: negative correlation coefficient. zero correlation coefficient. positive correlation coefficient. correlation coefficient equal to +1. Question 5.5. Daily demand for newspapers for the last 10 days has been as

follows: 12, 13, 16, 15, 12, 18, 14, 12, 13, 15 (listed from oldest to most recent). Forecast sales for the next day using a three-day weighted moving average where the weights are 3, 1, and 1 (the highest weight is for the most recent number). 12.8 13.0 70.0

14.0 Question 6.6. Which of the following is not classified as a qualitative forecasting model? exponential smoothing Delphi method jury of executive opinion sales force composite Question 7.7. Which of the following methods gives an indication of the percentage

of forecast error? MAD MSE MAPE decomposition Question 8.8. If computing a causal linear regression model of Y = a + bX and the resultant r2 is very near zero, then one would be able to conclude that Y = a + bX is a good forecasting method Y = a + bX is not

a good forecasting method. a multiple linear regression model is a good forecasting method for the data. a multiple linear regression model is not a good forecasting method for the data. Question 9.9. Enrollment in a particular class for the last four semesters

has been 120, 126, 110, and 130 (listed from oldest to most recent). Develop a forecast of enrollment next semester using exponential smoothing with an alpha = 0.2. Assume that an initial forecast for the first semester was 120 (so the forecast and the actual

were the same). 118.96 121.17 130 120 Question 10.10. Enrollment in a particular class for the last four semesters has been 120, 126, 110, and 130. Suppose a one-semester moving average was used to forecast enrollment (this is sometimes referred to as a naïve

forecast). Thus, the forecast for the second semester would be 120, for the third semester it would be 126, and for the last semester it would be 110. What would the MSE be for this situation? 196.00 230.67 100.00 42.00 Question 11.11. A graphical plot with

sales on the Y axis and time on the X axis is a scatter diagram. trend projection. radar chart. line graph. Question 12.12. Which of the following statements is true regarding a scatter diagram? It provides very little information about the relationship between

the regression variables. It is a plot of the independent and dependent variables. It is a line chart of the independent and dependent variables. It has a value between -1 and +1. Question 13.13. Which of the following is a technique used to determine forecasting

accuracy? exponential smoothing moving average Delphi method mean absolute percent error Question 14.14. Which of the following is considered to be one of the components of a time series? trend seasonality cycles All of the above Question 15.15. A seasonal

index of ________ indicates that the season is average. 0.1 0.5 0 1 Question 16.16. Which of the following statements is not true about regression models? Estimates of the slope are found from sample data. The regression line minimizes the sum of the squared

errors. The dependent variable is the explanatory variable. The intercept coefficient is not typically interpreted. Question 17.17. When both trend and seasonal components are present in time series, which of the following is most appropriate? the use of centered

moving averages the use of moving averages the use of weighted moving averages the use of double smoothing Question 18.18. When is the exponential smoothing model equivalent to the naïve forecasting model? a = 0 a = 0.5 a = 1 never Question 19.19. Sales for

boxes of Girl Scout cookies over a 4-month period were forecasted as follows: 100, 120, 115, and 123. The actual results over the 4-month period were as follows: 110, 114, 119, 115. What was the MAD of the 4-month forecast? 0 5 7 108 Question 20.20. As one

increases the number of periods used in the calculation of a moving average, (Points : 1) greater emphasis is placed on more recent data. less emphasis is placed on more recent data. the emphasis placed on more recent data remains the same. it requires a computer

to automate the calculations.

135.0. Question 2.2. The condition of an independent variable being correlated to one or more other independent variables is referred to as: multicollinearity. statistical significance. linearity. nonlinearity. Question 3.3. Which of the following statements

about scatter diagrams is true? Time is always plotted on the y-axis. It can depict the relationship among three variables simultaneously. It is helpful when forecasting with qualitative data. The variable to be forecasted is placed on the y-axis. Question

4.4. The diagram below illustrates data with a: negative correlation coefficient. zero correlation coefficient. positive correlation coefficient. correlation coefficient equal to +1. Question 5.5. Daily demand for newspapers for the last 10 days has been as

follows: 12, 13, 16, 15, 12, 18, 14, 12, 13, 15 (listed from oldest to most recent). Forecast sales for the next day using a three-day weighted moving average where the weights are 3, 1, and 1 (the highest weight is for the most recent number). 12.8 13.0 70.0

14.0 Question 6.6. Which of the following is not classified as a qualitative forecasting model? exponential smoothing Delphi method jury of executive opinion sales force composite Question 7.7. Which of the following methods gives an indication of the percentage

of forecast error? MAD MSE MAPE decomposition Question 8.8. If computing a causal linear regression model of Y = a + bX and the resultant r2 is very near zero, then one would be able to conclude that Y = a + bX is a good forecasting method Y = a + bX is not

a good forecasting method. a multiple linear regression model is a good forecasting method for the data. a multiple linear regression model is not a good forecasting method for the data. Question 9.9. Enrollment in a particular class for the last four semesters

has been 120, 126, 110, and 130 (listed from oldest to most recent). Develop a forecast of enrollment next semester using exponential smoothing with an alpha = 0.2. Assume that an initial forecast for the first semester was 120 (so the forecast and the actual

were the same). 118.96 121.17 130 120 Question 10.10. Enrollment in a particular class for the last four semesters has been 120, 126, 110, and 130. Suppose a one-semester moving average was used to forecast enrollment (this is sometimes referred to as a naïve

forecast). Thus, the forecast for the second semester would be 120, for the third semester it would be 126, and for the last semester it would be 110. What would the MSE be for this situation? 196.00 230.67 100.00 42.00 Question 11.11. A graphical plot with

sales on the Y axis and time on the X axis is a scatter diagram. trend projection. radar chart. line graph. Question 12.12. Which of the following statements is true regarding a scatter diagram? It provides very little information about the relationship between

the regression variables. It is a plot of the independent and dependent variables. It is a line chart of the independent and dependent variables. It has a value between -1 and +1. Question 13.13. Which of the following is a technique used to determine forecasting

accuracy? exponential smoothing moving average Delphi method mean absolute percent error Question 14.14. Which of the following is considered to be one of the components of a time series? trend seasonality cycles All of the above Question 15.15. A seasonal

index of ________ indicates that the season is average. 0.1 0.5 0 1 Question 16.16. Which of the following statements is not true about regression models? Estimates of the slope are found from sample data. The regression line minimizes the sum of the squared

errors. The dependent variable is the explanatory variable. The intercept coefficient is not typically interpreted. Question 17.17. When both trend and seasonal components are present in time series, which of the following is most appropriate? the use of centered

moving averages the use of moving averages the use of weighted moving averages the use of double smoothing Question 18.18. When is the exponential smoothing model equivalent to the naïve forecasting model? a = 0 a = 0.5 a = 1 never Question 19.19. Sales for

boxes of Girl Scout cookies over a 4-month period were forecasted as follows: 100, 120, 115, and 123. The actual results over the 4-month period were as follows: 110, 114, 119, 115. What was the MAD of the 4-month forecast? 0 5 7 108 Question 20.20. As one

increases the number of periods used in the calculation of a moving average, (Points : 1) greater emphasis is placed on more recent data. less emphasis is placed on more recent data. the emphasis placed on more recent data remains the same. it requires a computer

to automate the calculations.

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