Target due: 4/23/20Constructa scatterplot and identify the mathematical model that best fits the data. Assumethat the model is to be used only for the scope of the given data and consider only linear,quadratic, logarithmic, exponential, and power models. Use a calculator or computer toobtain the regression equation of the model that best fits the data. You may need to fitseveral models and compare the values of R2.Average sunset times are taken for six months across the summer. Giving the months April throughSeptember values 1 through 6, find the regression equation of the best model.month12.4 56.average sunset time in hours 19.51 20.87 21.45 20.64 19.32 18.20Dy = 21.20 – 0.343xOy= 20.62x 0.029y = -0.357x2 + 2.17x + 17.87Oy = 21.24 e0.983x11 of 15SubmitDescription

Let us define the variable X as the months and Y as the average sunset time in hours. Step-by-step…

Answered: Target due: 4/23/20 Constructa…

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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Biochemical oxygen demand (BOD) measures organic pollutants in water by measuring the amount of oxygen consumed by microorganisms that break down these compounds. BOD is hard to measure accurately. Total organic carbon (TOC) is easy to measure, so it is common to measure TOC and use regression to predict BOD. A typical regression equation for water entering a municipal treatment plant is BOD = -55.47 + 1.505 TOC Both BOD and TOC are measured in milligrams per liter of water. (a) What does the slope of this line say about the relationship between BOD and TOC? TOC rises (falls) by 1.505 mg/l for every 55.47 mg/l increase (decrease) in BOD BOD rises (falls) by 55.47 mg/l for every 1 mg/l increase (decrease) in TOC TOC rises (falls) by 1.505 mg/l for every 1 mg/l increase (decrease) in BOD BOD rises (falls) by 1.505 mg/l for every 1 mg/l increase (decrease) in TOC
NISH Boom Cardsl - Play boom.combg.com/play/1Dwb@fgH9jdMjFmxn/?Lenchcrld AYANWBBrodXKJA its X + 000000000000000000000 13 boomcardsk Use the following regression equation to predict the height of an 8-year-old American girl. Round all answers to the nearest hundredth (2 places after the decimal) and type it in the space below. y = 2.59x + 29.31 An average 8-year-old American girl is approximately 5 centimeters tall. W y tip Type here 90 C Submit X Give up Skip Q Overview ★ Save Card O P Dec 3 1
Two variables are defined, a regression equation is given, and one data point is given. Weight Training = = Weight 92 +11.9(Training) = maximum weight capable of bench pressing (pounds) number of hours spent lifting weights a week The data point is an individual who trains 5 hours a week and can bench 150 pounds. Residual (a) Find the predicted value for the data point and compute the residual. Enter the exact answers. Predicted value = M. lbs lbs
How should I draw this linear regression graph for this model? Thanks.
Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 1.5.
please please help me i need help
Need help finishing the regression equation with the following: Y=Residents' Preference B=Size of sector budget, sector budget, and individual trust as Independent Variables. I'm using Jamovi software, but the need to create the equation with information above. Thanks,

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