KMNPQuarter Year 4123DRSPlot the graph with the data for Years 1-3 plus your judgement forecast for Q4 and post here. Consider the quarterly data below:QUARTERYEAR 1YEAR 2YEAR 313,0003,3003,50221,7002,1002,44839001,5001,76844,4005,1005,882Total10,00012,00013,600Use intuition and judgment to estimate quarterly demand for the fourth year.7000600050004000300020001000WActual Demand4.00510101515

Here's the graph showing the demand forecast for Year 4 based on the trends from the previous three…

Answered: K M N P Quarter Year 4 1 2 3 D R S Plot…

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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15.16 The 2008 and 2012 presidential elections. Democrat Barack Obama was elected president in 2008 and 2012. Figure 15.6 plots the percentage who voted for Obama in 2008 and 2012 for each of the 50 states and the District of Columbia. a. Describe in words the direction, form, and strength of the relationship between the percentage of votes for Obama in 2008 and the percentage in 2012. Are there any unusual features in the plot?
D coefficient correlation please. Formula provided.
A study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation Days 5 15 13 3 9 0 3 7 7 14 4 Sick Days 5 5 1 5 4 9 9 6 5 3 9 Use the model to predict the number of sick days taken for an employee who took 3 vacation days this year.Sick Days = ? (Please round your answer to the nearest whole number.) Interpret the slope of the regression line in the context of the question: As x goes up, y goes down. The slope has no practical meaning since a negative number cannot occur with vacation days and sick days. For every additional vacation day taken, employees tend to take on average 0.40 fewer sick days. Interpret the y-intercept in the context of the question: The y-intercept has no practical meaning for this study. If an employee takes no vacation days, then that employee will take 8 sick days. The average number of sick days is…
#2 and #3
A soda company is monitoring the number of cases of soda it produces as a function of time. A manager checked the line several times a day for a week. She then graphed the combined data. Assume that we should see a linear (best straight line) relationship between time and production. What is the best estimate of the number of cases that will be produced in 1 hr on a typical day? 8. 7 1 0.5 1.5 2 2.5 Time in hours Select one: а. 1 b. 2 C. 2.5 d. 4.5 е. 7 Cases of soda produced
Step 4 The following table summarizes the given data and the forecast values. There will not be a forecast error for the first month. Complete the columns for the forecast error and squared forecast error. Month Value Forecast Value 1 2 3 4 5 6 7 19 27 23 28 24 23 28 19 23 23 24.25 24.2 24 Forecast Error Actual - Forecast Submit Skip (you cannot come back) 27 19 = 8 0 5 -0.25 4 Total Squared Forecast Error (Actual - Forecast)² (8)² = 64 0 1.44 The MSE will be the average of the squared forecast error column. Find the average of this column, rounding the result to two decimal places. MSE =
Part 2 of 2 Construct an ogive for the data. Cumulative Frequency 20 15 10 5 0 69.5 0 109.5 0 College Faculty 149.5 0 189.5 Number of faculty 0 229.5 0 269.5 0 309.5 X ←
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…
44. See
please help me solve these
Y 3 4 1 6 3 Drag blue round points onto the following graph to sketch a scatter plot for these data. 10 8 6 4 7
6 plot

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