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Consider the monthly sales data for the following questions. You may need to use Paste Special > text to copy properly into Excel. Time, t
Consider the monthly sales data for the following questions. You may need to use Paste Special > text to copy properly into Excel.
Time, t | Price = Yt |
1 | 5.80 |
2 | 5.87 |
3 | 5.79 |
4 | 5.96 |
5 | 5.96 |
6 | 6.51 |
7 | 6.41 |
8 | 6.43 |
9 | 6.56 |
10 | 6.56 |
11 | 6.87 |
12 | 7.39 |
13 | 7.63 |
14 | 7.62 |
15 | 7.50 |
16 | 7.73 |
17 | 8.10 |
18 | 8.16 |
19 | 8.18 |
20 | 8.13 |
Step 1 of 4:
|ll Step 2 of 4: How well does the linear trend t the observed time series data (using the guidelines discussed in class)? Answer 1Point E Keypa Keyboard Short: 0 Very poor t based on Rsquared value. 0 Fit is moderate -- not great but not horrible -- based on Rsquared value. 0 Fit is very good based on R-squared value lll Step 3 of 4: What is the linear trend equation? y = [ intercept] + [ slope] t Round each value to two demical places Answer 1Point E Keypad Keyboard Shortcuts intercept = slope = Step 4 of 4: Use the forecasting formula (trend line) to forecast month 21. Use the rounded intercept and slope answers in part four to calculate your answer. Round the answer to two decimal places. Answer 1Point E Keypad Keyboard Shortcuts Step 1 of 4: Fit a linear trend model to the data. What is the R2 value for the linear model? Enter 4 decimal places Answer 1Point E Keypad Keyboard ShortcutsStep by Step Solution
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