2. Shown below is a set of measured data points and two possible lines, one linear and onequadratic. Which line is the better fit for the data? Show calculations to back-up your conclusion. Temperature (C) Solubility (g/100mL)102030254270Equations for potential best-fit linesS = 2T+7S = 0.02T² + 2T - 3

Given that:Linear equation: S = 2T+7Quadratic equation: S=0.02T2+2T-3

Answered: 2. Shown below is a set of measured…

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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How to Create a Scatter Plot: 1. Plot each point on the graph, using the values as coordinate points. 2. Draw a line through the points, which shows the general directions of the points. The line should go as much through the middle of all the points as is possible. This is called the line of best fit. The data below shows the temperature and the number of ice creams sold at a particular location on ten different days. Temperature (Celsius) Number of Ice Creams Sold 23 53 17 35 21 48 16 35 18 38 22 52 15 30 18 42 13 19 19 44
Please don't provide handwritten solution ....
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The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.6 8.1 7.1 3.9 2.9 2.6 2.1 0.7 13.7 10.7 10.2 7 6.5 6.5 5.7 4.7 thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the linear equation 0.83x + 4.08 a. How many murders per 100,000 residents can be expected in a state with 10.3 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents b. How many murders per 100,000 residents can be expected in a state with 2.5 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents
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Find the equation of the line which best fits the data points (2;1) , (4;4), (5;1),(6;3).

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2. Shown below is a set of measured data points and two possible lines, one linear and one quadratic. Which line is the better fit for the data? Show calculations to back-up your conclusion.