11. A forecasting method used to predict can opener sales applies the following set ofweights to the last five periods of data: .1, .1, .2, .2, 4 (with .4 being applied to themost recent observation). Observed values of can opener sales arePeriod:Observation:1222326478521833142830Determine the following:a. The one-step-ahead forecast for period 9.b. The one-step-ahead forecast that was made for period 6.

The forecasting method to be used here is weighted moving average method where the weights of last…

Answered: 11. A forecasting method used to…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.
2. What does it mean for a scatter plot to have a negative trend? O A. Higher c-values tend to go with higher y-values. OB. Higher -values tend to go with lower y-values. OC. The x- and y-values appear to be unrelated. OD. None of these are true.
Draw the appropriate graph for each of the data sets given below. Explain the chosen graphs and give a short interpretation
A paper concluded that there was a correlation between refined sugar consumption (calories per person per day) and annual rate of major depression (cases per 100 people) based on data from six countries. The following data were read from a graph that appeared in the раper. Sugar Consumption Depression Rate Country Korea 160 2.4 United States 290 3.1 France 360 4.3 Germany 365 4.9 Canada 380 5.3 New Zealand 470 5.6 n USE SALT (a) Calculate the correlation coefficient for this data set. (Round your answer to four decimal places.) r = 0.9428 Interpret the correlation coefficient for this data set. O There is a weak, positive linear relationship between depression rate and sugar consumption. O There is no linear relationship between depression rate and sugar consumption. O There is a strong, negative linear relationship between depression rate and sugar consumption. O There is a weak, negative linear relationship between depression rate and sugar consumption. O There is a strong, positive…
1. (Pie chart question) What is the "average" based on the measures of central tendency? Choose one: -don't know/refused -very confident -not very/at all confident - somewhat confident 2. (Table chart question) Which residual plot indicates a linear best fit? Choose one: -Graph 2 -Graph 1 and 2 -Graph 1
or each predictor variable, state the P-value and determine whether the predictor variable is significant in explaining delivery charges. Predictor variables P-value Significant in explain Delivery charges Distance .................. .............. Weight .................. .............. Boxes ............... .................
Example#1: A researcher wishes to examine whether time of day (morning versus afternoon) affects the memory of older and younger participants. He obtains a sample of 40 older individuals and 40 younger individuals and gives them a passage to read. They are later given a test over the passage (scores on the test could range from O to 30). HaJf of the individuals are randomly assigned to read the passage and take the test in the morning, and the other half do so in the afternoon. The data are reported in the table below (the numbers represent mean test scores for each group; that is, "M" is mean). Morning Testing M= 15 Afternoon Testing Older Adults M=8 Younger Adults М- 16 М-20

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