Which of the following statements about MAE and SSE isFALSE? Check all that apply.O Lower values are preferred.O Errors do not cancel out each other.They are unitless.MAE stands for Mean Absolute Error.O MAE is always greater than SSE.None can be negative.U A positive value means the forecasting method is biased.O SSE is the scaled down version of MAE.They can be used to compare two applications of the sameforecasting method.O SSE stands for Sum of Standard Errors.

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Answered: Which of the following statements about…

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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q3- For categorical data: Select one or more: a. We can't apply boxplot to show its distribution b. We can apply aggregate functions. c. We can't use histogram to show its distribution. d. The interval between units is the same.
Pls dont do handwritten and also explain concept and use excel formulas wherever required and not the statistics tables.
For this activity, identify the independent (or quasi-independent) and dependent variables in the following examples. Also have identify the type of manipulation used for the independent variable and the scales of measurement for the dependent variable(s). Discuss each example and consider any confounding variables that may pose a problem for the study. A researcher would like to know whether men and women experience jet lag differently. He surveys people traveling from San Francisco to New York to measure their feelings of sleepiness and disorientation upon arriving at their destination.
Which of the following statements is not true? There is only one median for each variable. One definition of the median states that, for an odd number of observations, the median is the middle score when scores are placed in order of magnitude. Another term for the median is 50th percentile. The median is generally more sensitive to (i.e., affected by) the presence of a few extreme observations than is the mean.
Number 2
Fitting a straight line to a set of data yields the following prediction line. Predict the mean value of Y for x=5 Predict the mean value of Y for 5
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State the empirical rule for variables.
Devise two scenarios where a dependent/matched/paired t-test would be appropriate. Be sure to express how you would measure your dependent variable.
A recent study evaluated how addicted teenagers become to nicotine once they start smoking. The response variable was the number of yes answers on a questionnaire called the Hooked on Nicotine Checklist (HONC). Of teenagers who had tried tobacco, the mean HONC score was 4.2 (s = 5.4) for the 149 females and 2.8 (s=4.2) for the 190 males. Complete parts a through c below. 000 DOD F4 What does the standard error indicate? A. The standard error describes the spread of the sampling distribution of x₁ - x₂. B. The standard error is the standard deviation of the difference between x₁ - x₂. OC. The standard error is the standard deviation of the sample for this study. OD. The standard error is the difference in standard deviations for the two populations. ... b. Find the test statistic and P-value for Ho: H₁ H₂ and Ha: H₁ H₂. Interpret, and explain what (if any) effect gender has on the mean HONC score. Use the significance level 0.05. The test statistic is (Round to two decimal places as…
The problem below asks you to compare 4 different forecasting methodologies to determine which forecasting model results in the most accurate forecasts. Accuracy is determined by the lowest mean absolute deviation. Emergency calls to the 911 system of Greenville County for the past 24 weeks are shown below. Accurate forecasts are needed to determine the number of operators needed to staff the station. Week # of Calls 1 50 2 35 3 25 4 40 5 45 6 35 7 20 8 30 9 35 10 20 11 15 12 40 13 55 14 35 15 25 16 55 17 55 18 40 19 35 20 60 21 75 22 50 23 40 24 65 1. EXPONENTIAL SMOOTHING Compute the forecasts using α = .2. Calculate the MAD for weeks 4 through 24 only. Compute the forecasts using α = .6. Calculate the MAD for weeks 4 through 24 only. 2. SIMPLE LINEAR REGRESSION Use all of the data, weeks 1 - 24, to calculate the…
Provide an appropriate response. Suppose you were to collect data for the pair of given variables in order to make a scatterplot. For the variables time spent on homework and exam grade, which is more naturally the response variable and which is the explanatory variable? O Time spent on homework: response variable Exam grade: explanatory variable O Time spent on homework: explanatory variable Exam grade: response variable

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