QUESTION 1 Quantitative forecasting methods: O use historical data. C are approp

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QUESTION 1 Quantitative forecasting methods: O use historical data. C are appropriate when forecasting demand for new products. O rely on intuition and experience. are useful for vague situations with little data. QUESTION 2 Consider the following output for an autoregressive forccasting model Intercept 745787 485094 yt-1 Yt-2 Coefficients Standard Error t Statistic p-value 0.84426 0.40299 1.660230.103822 14.65044 9.69E-19 0.62849 0.10434 0.65709 0.962669 The forecasting model is: yt-5.745787 +0.62849yt-1 +0.65709y1-2 yt-0.40299 +0.103822yt-1-9.69yt-2 yt- 0.84426-1.66023yt-1+14.65023yt-2 yt _ 4.85094-0.1 0434yt-l + 0.962669 2 Click Save and Submit to save and submit. Click Save All Answers to save all onswiers

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QUESTION 1 Quantitative forecasting methods: O use historical data. C are appropriate when forecasting demand for new products. O rely on intuition and experience. are useful for vague situations with little data. QUESTION 2 Consider the following output for an autoregressive forccasting model Intercept 745787 485094 yt-1 Yt-2 Coefficients Standard Error t Statistic p-value 0.84426 0.40299 1.660230.103822 14.65044 9.69E-19 0.62849 0.10434 0.65709 0.962669 The forecasting model is: yt-5.745787 +0.62849yt-1 +0.65709y1-2 yt-0.40299 +0.103822yt-1-9.69yt-2 yt- 0.84426-1.66023yt-1+14.65023yt-2 yt _ 4.85094-0.1 0434yt-l + 0.962669 2 Click Save and Submit to save and submit. Click Save All Answers to save all onswiers

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