a causal analysis b non parametric regression c planning gap analysis d

A causal analysis b non parametric regression c

This preview shows page 98 - 101 out of 109 pages.

a. causal analysis b. non-parametric regression c. planning gap analysis d. infinite dimension e. linear trend extrapolation Answer: e Page(s): 213 LO: 6 AACSB: Analytic QD: Easy Rationale: Text term definition—linear trend extrapolation. 8-272 LINEAR TREND EXTRAPOLATION COMPREHENSION Linear trend extrapolation is similar to trend extrapolation except a. the pattern changes from year to year. b. the pattern is always a straight line. - 98 -
Image of page 98
c. the slope of the line is tied directly to profits. d. the shape of the pattern is a hyperbola. e. the pattern follows an “S-shaped” curve. Answer: b Page(s): 213-214 LO: 6 AACSB: Analytic QD: Medium Rationale: When the pattern of trend extrapolation is a straight line, it is linear trend extrapolation. Using linear trend extrapolation, you draw a line to fit the past data and project it into the future to give the forecast values. Figure 8-7 8-273 LINEAR TREND EXTRAPOLATION COMPREHENSION Figure 8-7 above depicts what type of statistical forecasting? a. causal analysis b. non-parametric regression c. curvilinear extrapolation d. infinite dimension e. linear trend extrapolation Answer: e Page(s): 213-214 LO: 6 AACSB: Analytic QD: Medium Rationale: Linear trend extrapolation involves extending a pattern observed in past data into the future. When the pattern is described with a straight line, it is linear trend extrapolation, the situation depicted in Figure 8-7. 8-274 LINEAR TREND EXTRAPOLATION COMPREHENSION In Figure 8-7 above, the line identified as “A” indicates a(n) a. causal analysis. b. non-parametric regression. c. curvilinear extrapolation. d. linear trend extrapolation forecast. e. sales regression. - 99 -
Image of page 99
Answer: d Page(s): 213-214 LO: 6 AACSB: Analytic QD: Medium Rationale: When the pattern of trend extrapolation is a straight line, it is linear trend extrapolation. Using linear trend extrapolation, you draw a line (“A”) to fit the past data and project it into the future to give the forecast values. 8-275 VIDEO CASE 8: CARMEX APPLICATION In conducting marketing research on Facebook for Carmex, Jeff Gerst is considering using a marketing metric that measures how active its Facebook audience is with Carmex, such as when consumers post a comment on the Carmex wall or reply to one of the Carmex posts. This metric is called Carmex a. Sentiment. b. Share of Voice. c. Engagement. d. Conversation Velocity. e. Likes. Answer: c Page(s): 216-217 LO: 3 AACSB: Analytic QD: Hard Rationale: In using Facebook to do marketing research to narrow the number of lip balm flavors Carmex will place in quantitative testing, Jeff Gerst is trying to decide whether to use (1) “likes” (also called “likers” or sometimes “fans”) or (2) engagement. The metric described is Carmex Engagement. 8-276 VIDEO CASE 8: CARMEX APPLICATION Jeff Gerst, who manages the Carmex social media properties, says, “For Carmex, Facebook isn’t just a way to share coupons or the latest product news, but it is also a marketing research resource.” One objective in the marketing research he undertook using Facebook involved a. assessing the market for its new hand cream product.
Image of page 100
Image of page 101

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture