Show every detail. Consider the following histogram and answer the questions.Frequencya. Construct frequency distribution.15.b. Construct culminative frequency distribution.10-C. Draw frequency polygon.d. Draw frequency ogive.700775068001585011900895031000

Frequency Distributions: Frequency distributions are depictions of frequencies and percentages that…

Answered: Consider the following histogram and…

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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Match these values of r with the accompanying scatterplots: 1, 0.997, - 0.405, 0.405, and - 0.761. W Click the icon to view the scatterplots. i Scatterplots Match the values of r to the scatterplots. Scatterplot 1, r= Scatterplot 2, r= plot 1 Scatterplot 2 Scatterplot 3 Scatterplot 3, r= Q 8- 8- Scatterplot 4, r= 6- 6- Scatterplot 5, r= > 4- 4- 2- 2- 0+ 0.2 0.4 0.6 0.8 0- 0.2 0.4 0.6 0.8 6 0.8 plot 4 Scatterplot 5 8- 6- 4- 2- .6 0.8 0- 0.2 0.4 0.6 0.8 Print Done
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(SUB-PART C ONLY PLEASE) Each row represents an experimental “run” (in this case, averaged sample of mango wine). Column A shows the run number; Column B shows the percentage of ethanol; Column C shows the amount of glycerol (in g/L); Column D shows the amount of acid (in g/L); Column E shows the temperature of the run (in °C); and Column F shows the pH of the run. Y represents Ethanol of mango wine. 1. Create a scatterplot of the ethanol data for all 20 runs (CREATED) a. Draw a graphical representation of the model that you chose to use. (CREATED WITHIN SCATTERPLOT) b. Comparing the model to your data, evaluate its fit in one or two sentences. (LINEAR MODEL; The conditions to say that the model is a good fit are as given below: To say that the model is the good fit, the coefficient of determination should be high. Atleast one the predictor variables should be statistically significant in predicting the response variable. ) c. Replace the generic Yi = β0 + ε with the information you…
Each row represents an experimental “run” (in this case, averaged sample of mango wine). Column A shows the run number; Column B shows the percentage of ethanol; Column C shows the amount of glycerol (in g/L); Column D shows the amount of acid (in g/L); Column E shows the temperature of the run (in °C); and Column F shows the pH of the run. Y represents Ethanol of mango wine. 1. Create a scatterplot of the ethanol data for all 20 runs a. Draw a graphical representation of the model that you chose to use. b. Comparing the model to your data, evaluate its fit in one or two sentences. (Not sure what this question is getting at. I've provided all the information given) c. Replace the generic Yi = β0 + ε with the information you have here. Please help. I have no idea what this even means or where to start. HERE is the attached dataset to start with; a b c d e f Run Ethanol Glycerol Acidity Temp pH 1 4.8 3.5 0.84 24 3.8 2 9.6…
Match these values of r with the accompanying scatterplots: 1, 0.997, - 0.405, 0.405, and - 0.761. W Click the icon to view the scatterplots. i Scatterplots Match the values of r to the scatterplots. Scatterplot 1, r= Scatterplot 2, r = Scatterplot 1 Scatterplot 2 Scat Scatterplot 3, r= 8- 8- 8- Scatterplot 4, r = 6- 6- 6- Scatterplot 5, r= > 4- 4- 4- 2- 2- 2- 0+ 0.2 0,4 0,6 0.8 0- 0.2 0.4 0.6 0.8 0+ 0.2 0.4 1 1 Scatterplot 4 Scatterplot 5 15- 8- 14- 6- 13- 4- 12- 11- 2- 10+ ó 0.2 0.4 0.6 0.8 0- 0.2 0.4 0.6 0.8 1 Print Done
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Consider the following histogram and answer the questions. Frequency a. Construct frequency distribution. 15. b. Construct culminative frequency distribution. 10+ c. Draw frequency polygon. 5. d. Draw frequency ogive. 700 7 750 6 800 15 850 11 900 8 00 950 3 1000