An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a linear trendequation and the naive approach. The linear trend equation is F+ = 122 +1.9t, and it was developed using data fromperiods 1 through 10. Based on data for periods 11 through 20 as shown in the table, which of these two methods hasthe greater accuracy if MAD and MSE are used? (Round your intermediate calculations and final answers to 2decimal places.)t11121314151617181920UnitsSold143149152145155152154159159162Click here for the Excel Data FileMAD (Naive)MAD (Linear)MSE (Naive)MSE (Linear))

The question is about forecasting.Given :To find :1 ) MAD, MSE for both the methods naive and…

Answered: An analyst must decide between two…

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section: Chapter Questions

Problem 8PT: Does Table 1 represent a linear function? If so, finda linear equation that models the data.

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Does Table 1 represent a linear function? If so, finda linear equation that models the data.
Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
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Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?
An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a linear trend equation and the naive approach. The linear trend equation is F = 124 + 2.1t, and it was developed using data from periods 1 through 10. Based on data for periods 11 through 20 as shown in the table, which of these two methods has the greater accuracy if MAD and MSE are used? (Round your intermediate calculations and final answers to 2 decimal places.) Units Sold 11 144 12 146 13 152 142 15 152 16 149 17 152 18 154 19 157 20 164 Click here for the Excel Data File: MAD (Naive) MAD (Linear) MSE (Naive) MSE (Linear) 4 56 N 00 o o
A coffee shop owner wants to estimate demand for the next four quarters for hot chocolate. Sales data consist of trend and seasonality. Quarter relatives are 1.06 for the first quarter, 1.03 for the second quarter, 0.61 for the third quarter, and 1.30 for the fourth quarter. Using the appropriate values of quarter relatives and the equation Ft = 187 +9.2t for the trend component, estimate demand for periods 9-12. (Round all calculations to two decimal points. Demand Period 9 Demand Period 10 Demand Period 11. Demand Period 12
A manager uses a trend equation plus quarterly relatives to predict demand. Quarter relatives are SR1 = 0.9, SR2 = 0.95, SR3 = 1.05, and SR4 = 1.1. The trend equation is: Ft = 11 + 3t. Over the past nine quarters, demand has been as follows: %3D Period, t: 2 4 5 7 8 9. Demand: 15 17 20 23 25 29 34 36 39 Click here for the Excel Data File Compute the MAD and tracking signal for each period. (Negative values should be indicated by a minus sign. Round your intermediate calculations and final answers to 3 decimal places.) Period, t Demand MAD Tracking signal 1 15 2 17 3 20 4 23 5 25 29 7 34 36 39
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I have this much done, but need help with E, i,ii,iii Which asks: Choose a year other than the one from part 2c. A birth year or the first year might be a good choice(I picked 1990) .i. Use the trend line equation to estimate the y-value for the year of your choice. Find the relative change in the y-value for your chosen year compared to the last year’s value you found in part 2c iii. Interpret the meaning of your relative change value. F.Should we use the trend line model to estimate the y-value for 2020? Why or why not? Note: Hey there! Thank you for the question. As you have posted multiple sub-parts, we have helped you solve the first three parts, according to our policy. Please re-post the other parts with complete background information. Step 2 Calculation: As it is required to build a scatterplot with a trendline, we need to use Excel, where this feature is available. The independent or predictor variable is year, which we have denoted as x, and the dependent…
A manager uses a trend equation plus quarterly relatives to predict demand. Quarter relatives are SR₁ =0.9, SR₂ = 0.95, SR3 = 1.05, and SR4 = 1.1. The trend equation is: Ft= 7+ 5t. Over the past nine quarters, demand has been as follows: Period, t: Demand: 4 5 6 7 8 9 3 18 20 23 28 34 40 45 51 1 2 15 Click here for the Excel Data File Period, t 1 2 3 4 5 6 7 8 9 Compute the MAD and tracking signal for each period. (Negative values should be indicated by a minus sign. Round your intermediate calculations and final answers to 3 decimal places.) Demand 15 18 20 23 28 34 40 45 51 MAD Tracking signal 1.000

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