\[ \begin{align}\begin{aligned}\newcommand\blank{~\underline{\hspace{1.2cm}}~}\\% Bold symbols (vectors)
\newcommand\bs[1]{\mathbf{#1}}\\% Poor man's siunitx
\newcommand\unit[1]{\mathrm{#1}}
\newcommand\num[1]{#1}
\newcommand\qty[2]{#1~\unit{#2}}\\\newcommand\per{/}
\newcommand\squared{{}^2}
\newcommand\cubed{{}^3}
%
% Scale
\newcommand\milli{\unit{m}}
\newcommand\centi{\unit{c}}
\newcommand\kilo{\unit{k}}
\newcommand\mega{\unit{M}}
%
% Percent
\newcommand\percent{\unit{\%}}
%
% Angle
\newcommand\radian{\unit{rad}}
\newcommand\degree{\unit{{}^\circ}}
%
% Time
\newcommand\second{\unit{s}}
\newcommand\s{\second}
\newcommand\minute{\unit{min}}
\newcommand\hour{\unit{h}}
%
% Distance
\newcommand\meter{\unit{m}}
\newcommand\m{\meter}
\newcommand\inch{\unit{in}}
\newcommand\foot{\unit{ft}}
%
% Force
\newcommand\newton{\unit{N}}
\newcommand\kip{\unit{kip}} % kilopound in "freedom" units - edit made by Sri
%
% Mass
\newcommand\gram{\unit{g}}
\newcommand\g{\gram}
\newcommand\kilogram{\unit{kg}}
\newcommand\kg{\kilogram}
\newcommand\grain{\unit{grain}}
\newcommand\ounce{\unit{oz}}
%
% Temperature
\newcommand\kelvin{\unit{K}}
\newcommand\K{\kelvin}
\newcommand\celsius{\unit{{}^\circ C}}
\newcommand\C{\celsius}
\newcommand\fahrenheit{\unit{{}^\circ F}}
\newcommand\F{\fahrenheit}
%
% Area
\newcommand\sqft{\unit{sq\,\foot}} % square foot
%
% Volume
\newcommand\liter{\unit{L}}
\newcommand\gallon{\unit{gal}}
%
% Frequency
\newcommand\hertz{\unit{Hz}}
\newcommand\rpm{\unit{rpm}}
%
% Voltage
\newcommand\volt{\unit{V}}
\newcommand\V{\volt}
\newcommand\millivolt{\milli\volt}
\newcommand\mV{\milli\volt}
\newcommand\kilovolt{\kilo\volt}
\newcommand\kV{\kilo\volt}
%
% Current
\newcommand\ampere{\unit{A}}
\newcommand\A{\ampere}
\newcommand\milliampereA{\milli\ampere}
\newcommand\mA{\milli\ampere}
\newcommand\kiloampereA{\kilo\ampere}
\newcommand\kA{\kilo\ampere}
%
% Resistance
\newcommand\ohm{\Omega}
\newcommand\milliohm{\milli\ohm}
\newcommand\kiloohm{\kilo\ohm} % correct SI spelling
\newcommand\kilohm{\kilo\ohm} % "American" spelling used in siunitx
\newcommand\megaohm{\mega\ohm} % correct SI spelling
\newcommand\megohm{\mega\ohm} % "American" spelling used in siunitx
%
% Inductance
\newcommand\henry{\unit{H}}
\newcommand\H{\henry}
\newcommand\millihenry{\milli\henry}
\newcommand\mH{\milli\henry}
%
% Power
\newcommand\watt{\unit{W}}
\newcommand\W{\watt}
\newcommand\milliwatt{\milli\watt}
\newcommand\mW{\milli\watt}
\newcommand\kilowatt{\kilo\watt}
\newcommand\kW{\kilo\watt}
%
% Energy
\newcommand\joule{\unit{J}}
\newcommand\J{\joule}
%
% Composite units
%
% Torque
\newcommand\ozin{\unit{\ounce}\,\unit{in}}
\newcommand\newtonmeter{\unit{\newton\,\meter}}
%
% Pressure
\newcommand\psf{\unit{psf}} % pounds per square foot
\newcommand\pcf{\unit{pcf}} % pounds per cubic foot
\newcommand\pascal{\unit{Pa}}
\newcommand\Pa{\pascal}
\newcommand\ksi{\unit{ksi}} % kilopound per square inch
\newcommand\bar{\unit{bar}}
\end{aligned}\end{align} \]
Oct 24, 2024 | 247 words | 2 min read
15.3.2. Task 2
Learning Objectives
Read CSV data in MATLAB; Plot data using regression in MATLAB
Task Instructions
Open the ENGR133_MATLAB_Template.m MATLAB template and complete the header information. Save your script as ma4_ind_2_username.m
Import the data from the coastline.csv file. There are two columns of data in the file. The first contains the scale length (in Km) used to measure the coastline. The second contains the measured length of the coastline (in Km).
Using the data you imported, make four subplots in one figure of Scale Length versus Coast Length as described below. Be sure to plot the data as points and to format your plots for professional presentation.
a. Plot 1: both axes are linear
b. Plot 2: x-axis is logarithmic, y-axis is linear
c. Plot 3: x-axis is linear, y-axis is logarithmic
d. Plot 4: both axes are logarithmic
Determine which plot makes the data appear most linear. Use polyfit to perform a linear regression on the and plot the regression line with the data on the plot that you chose.
Use your model to determine the length of the coastline if it were measured at a 100 km scale, a 50 km scale, and a .001 km scale.
Create an appropriately formatted output that displays the equation of your regression line, and the results of your calculations from step 5.
Publish your script as a PDF and name it ma4_ind_1_username.pdf.
Upload all your deliverables to Gradescope.
