(a) Compute MSE using the most recent value as the forecast for the next period. What is the forecast for month 8?The MSE, mean squared error, is a measure of forecast accuracy and is the average of the squared forecast errors. Before this can be found, we first needto find the forecast values, forecast error, and squared forecast errors.Forecasts will be made using the most recent values known. There will be no forecast for the first month. The forecast value for month 2 will be theobserved value from month 1, so the forecast value for month 2 isThe forecast value for month 3 will be the observed value from monthThis pattern will continue for the rest of the months.2, so the forecast value for month 3 isComplete the column for the forecast value in the table below.Month Value Forecast Value1182263224275239222272727Find the forecast for month 8 using this pattern.Type here to searchL W☑38200m3:36 PM72°F5/9/202410

Step 1: Complete the table using the "most recent value" as forecast for the next period.To do this,…

Answered: (a) Compute MSE using the most recent…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The following is data for the first and second Quiz scores for 8 students in a class. First Quiz (Q1) Second Quiz (Q2) 15 15 16 13 17 15 22 21 24 24 26 21 29 27 30 27 Plot the points in the grid below, then sketch a line that best fits the data. Use the line above to predict the value of the second quiz score if a student had a score of 1212 on the first test. (Please enter a whole number)
Use a calculator or computer software to generate a normal quantile plot for the data in the accompanying table. Then determine whether the data come from a normally distributed population. Click the icon to view the data set. Generate a normal quantile plot for the data. Choose the correct graph below. OA. 3.00 2.00- 1.00- 0.00- -1.00- Q Q -2.00 -3.00 100 200 300 400 500 0 X Value OB. 3.00 2.00- 1.00- 0.00- -1.00- -2.00- -3.00- ... 0 100 200 300 400 500 X Value Q Q G O C. 3.00 2.00 P 1.00 0.00- -1.00- -2.00- 0 100 200 300 400 500 X Value -3.00+ Determine whether the data come from a normally distributed population. Choose the correct answer below. OA. The distribution is not normal. The points are not reasonably close to a straight line. OB. The distribution is normal. The points show a systematic pattern that is not a straight-line pattern. OC. The distribution is not normal. The points show a systematic pattern that is not a straight-line pattern. OD. The distribution is normal. The…
prove that If we multiply the data values by a constant (say, c), value of geometric mean will be affected. how this will affect the geometric mean? Use the equation in image to prove it, and give an example.
Use this data which give the dosage levels for a particular drug and the heart rate measured 30 minutes after taking the drug. Dose (mg) Heart rate 0.125 95 0.20 90 0.25 93 0.30 92 0.35 88 0.40 80 0.50 82 Create a scatter plot. Use your Ti-84
The authors of a paper were interested in how the distance a deer mouse will travel for food is related to the distance from the food to the nearest pile of debris. Distances were measured in meters. The data and computer output are given below. Distance from Debris Distance Traveled 6.94 0.00 5.23 6.13 5.21 11.29 7.10 14.35 8.16 12.03 5.50 22.72 9.19 20.11 9.05 26.16 9.36 30.65 Simple Linear Regression Results: Dependent Variable: Traveled Independent Variable: Debris Sample size: 9 R (correlation coefficient) = 0.5657 R-sq = 0.32002088 Estimate of error standard deviation 8.670711 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-Value Intercept -7.6854587 13.332196 ≠ 0 7 -0.5764586 0.5824 Slope 3.2340908 1.7818117 ≠ 0 7 1.8150575 0.1124 a)What is the least squares regression line for the output given above? b) what is the predicted traveled distance given the distance from debris is 6.5 meters?
If we multiply the data values by a constant (say, c), how this will affect the geometric mean? Use the equation in image to prove it, and give an example.
Answer for b c d

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