49. "Doing good" and "doing well" are considered a double bottom line of values and profits for many organizations such as TOMS. Profits sometimes suffer as a result. This is one of the challenges of _ marketing.
(A) societal
(B) sense-of-mission
(C) consumer-oriented
(D) customer value
(E) innovative

50. When a company makes marketing decisions by considering consumers' wants and interests, the company's requirements, and society's long-run interests, it is most likely practicing _ marketing.(A) value(B) societal(C) sense-of-mission(D) consumer-oriented(E) customer value

1. Under which of the following conditions would you suggest that a double exponential smoothing model should be used instead of a single exponential smoothing model? (A) When there are two main time-series variables involved in the forecast application (B) When the data exhibit only random variation (C) When the time-series data exhibit a trend (D) When the data set is extremely uneven

2. In a simple exponential smoothing model, which of the following statements is true? (A) The forecast values are determined by computing a moving average of the previous 4 data periods if we are working with quarterly data. (B) The larger the smoothing constant, the more smoothing that takes place in the model. (C) If the data contain a lot of random or irregular ups and downs, then a larger smoothing constant should be used in an attempt to model these fluctuations. (D) More smoothing of the data will take place if a smoothing constant value close to zero is used.

3. Which of the following forecasting methods allows the decision maker to weigh the past time series differently to make the model more sensitive to more recent data? (A) Exponential smoothing (B) Linear trend regression model (C) Moving average model (D) De-seasonalizing the time series

4. A company has developed a linear trend regression model based on 16 quarters of data. The independent variable is the measure of time (t = 1 thru 16 where quarter 1 is winter quarter, 2 is spring, etc.). The company has also developed seasonal indexes for each quarter as follows: The linear trend forecast equation is: $\hat{y} = 120 + 56t$. Given this information, what is the seasonally adjusted forecast for period 19? (A) 1,064 (B) 1,184 (C) 828.80 (D) 986.7

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