Regression and Interpolation

In this exercise, we are going to use MATLAB's built$-$in functions for regression and interpolation. The goal is to determine whether regression or interpolation is the better choice for a given set of data. We are going to revisit two sets of data that you previously used.

clear; clc;

Upload the data to the MATLAB workspace. Assign the time column to the variable and the current column tot he variable $.$ Plot this data using black circles as markers. Add figure titles and axes labels.

A$=$importdata$("$current$.$txt$")$

tc $=$ A$.$data$($:$,1)$;

ic $=$ A$.$data$($:$,2)$;

plot$($tc$,$ ic$,"$ok$")$

title$("$CURRENT VS TIME", "fontsize", $15)$

xlabel$("$TIME $($s$)",$"fontsize", $15)$

ylabel$("$CURRENT $($A$)",$ "fontsize", $15)$

Upload the data to the MATLAB workspace. Assign the time column from $1\mathrm{.}5$ seconds to $5\mathrm{.}0$ seconds to the variable and the corresponding current column to the variable $.$ This time range corresponds to the index to $.$ Plot this data using black circles and solid lines as markers. Add figure titles and axes labels.

B$=$importdata$("$normal$.$txt$")$

tn $=($tc $>=1\mathrm{.}5),($tc$<=5\mathrm{.}0)$

fn $=$ ic $(1$i $>=16),(1$i $<=51)$

plot$($tc$,$ ic$,"$ok$")$

title$("$CURRENT VS TIME", "fontsize", $15)$

xlabel$("$TIME $($s$)",$"fontsize", $15)$

ylabel$("$CURRENT $($A$)",$ "fontsize", $15)$