The table below shows the height, h(t), in meters, of an object that is thrown off the top of a building, tseconds after it is thrown.t0.511.522.53h(t) 79.525 92.6 103.225 111.4 117.125120.4A) Using your calculator to do a quadratic regression, express the height of the object as a function of thenumber of seconds that have passed since the object was thrown.Round all numbers to 1 decimal place. B) Using your quadratic regression, how high will the object be 2.6seconds after it is thrown?Select an answerRound to 3 decimal places. C) Using your quadratic regression, how long will it take the object to reach 27meters?Select an answer ✓Round to the 3 decimal places.

we have a data of t (sec) and height h(t) :th(t)0.579.525192.61.5103.2252111.42.5117.1253120.4

Answered: The table below shows the height, h(t),…

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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Perform Linear Regression Analysis by Octave (or MatLab) software using formulas for calculation of required parameters. Make the graph y versus x values and ytted VS. X on the same plot. x Answers: 0.05 0.04 35.7210 23.3960 7 0.03 13.3970 X S 0.02 6.0310 0.01 1.5190 0 0.0000
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A popular television show recently released a video previewing the upcoming season on his website as fans of the show discovered the video the number of views of the preview video has grown each day during the last two weeks the number of days in the release of the video and the natural log of the number of video views as shown in the scatterplot. based on the scatterplot and residual plot, what type of model would be appropriate for summarizing the relationship between days and numbers of views? an exponential model is appropriate because the Residual plot does not show a clear pattern A linear model is appropriate because of scatterplot shows a strong positive linear relationship A power model is appropriate because the scatterplot of days a natural log of use is strong and linear an exponential model is appropriate because the relationship between the days in the natural log of views in linear and the residual plot does not show a clear pattern
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