Problem $3,$ Two$-$minute offense: You are provided a $.$csv file containing relationship between

Temperature $(F)$ and Resistance $()$ for a NTC $($remember what NTC stands for?$)$ thermistor that you

would like to use in a new line of refrigerators your company is designing. This line of refrigerators will,

of course be an loT $($Internet of Things$)$ in that it will notify the user on his$/$her cell phone if the

temperature of the freezer rises above $15F($typically freezers should be in the range of $-3F-0F),$

indicating some type of malfunction.

a$.(15$ pts$)$ Load the $.$csv file from eCampus and then remember to save it as an $.$xlsx file $($if using Excel$).$

Plot the data to make sure it looks OK$.$ Create linear regression fit and plot it$.$ Well, that doesn't

work. Looks like we need to go to higher ordered equations.

b$.(20$ pts$)$ Create a quadratic $)$ equation fit of the data and plot the equation on the graph

created in $($a$.).$ We wish the error in temperature for the range of $(-10F-50F)$ to be If a

quadratic equation won't meet this specification, continue to increase the power $($cubic$,4^{th}$ power, $.$

$..)$ until it does.