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the table shows the temperature of an amount of water set on a stove to…

Question

the table shows the temperature of an amount of water set on a stove to boil, recorded every half minute. according to the line of best fit, at what time will the temperature reach 100°c, the boiling point of water? 5 5.5 6 6.5

Explanation:

Step1: Find the pattern of temperature increase

From \(t = 0\) (\(T=75^{\circ}C\)) to \(t = 4.5\) (\(T = 95.5^{\circ}C\)), the temperature increase is \(95.5 - 75=20.5^{\circ}C\) in \(4.5\) minutes.
The average rate of increase per minute is \(\frac{20.5}{4.5}\approx4.56^{\circ}C\) per minute. But we can also use a linear - regression approach (assuming a linear line of best fit). Let the linear equation be \(T=mt + b\), where \(T\) is temperature and \(t\) is time. Using the first two points \((t_1 = 0,T_1=75)\) and \((t_2 = 0.5,T_2 = 79)\), the slope \(m=\frac{79 - 75}{0.5-0}=8\). The equation is \(T = 8t+75\) (using the point - slope form \(y - y_1=m(x - x_1)\) with \((x_1,y_1)=(0,75)\)).

Step2: Solve for \(t\) when \(T = 100\)

Set \(T = 100\) in the equation \(T=8t + 75\). Then \(100=8t+75\).
Subtract \(75\) from both sides: \(100 - 75=8t\), so \(25 = 8t\).
Solve for \(t\): \(t=\frac{25}{8}=3.125\) (this is wrong, because the data is not perfectly linear. Let's use another approach: the differences between temperatures)
The differences in temperature: \(79 - 75 = 4\), \(83 - 79 = 4\), \(86 - 83=3\), \(89 - 86 = 3\), \(91 - 89 = 2\), \(93 - 91=2\), \(94 - 93 = 1\), \(95 - 94 = 1\), \(95.5 - 95=0.5\)
Let's assume a linear trend. We can also use the fact that from \(t = 4\) (\(T = 95\)) to \(t=4.5\) (\(T = 95.5\)) the increase is \(0.5^{\circ}C\) in \(0.5\) minutes.
Let \(y\) be the temperature and \(x\) be the time. We have two points \((x_1 = 4,y_1 = 95)\) and \((x_2=4.5,y_2 = 95.5)\). The slope \(m=\frac{95.5 - 95}{4.5 - 4}=1\)
The equation of the line using the point - slope form \(y - y_1=m(x - x_1)\) (using \((x_1,y_1)=(4,95)\)) is \(y-95=1\times(x - 4)\), or \(y=x + 91\)
Set \(y = 100\): \(100=x + 91\), so \(x=9\) (wrong). Let's use a better approximation.
We know that from \(t = 4.5\) (\(T = 95.5\))
The remaining temperature to reach \(100^{\circ}C\) is \(100 - 95.5=4.5^{\circ}C\)
Looking at the trend:
From \(t = 0\) to \(t = 1.5\):
\(t = 0,T = 75\); \(t=0.5,T = 79\); \(t = 1,T = 83\); \(t = 1.5,T = 86\) (increase of \(4,4,3\))
From \(t = 1.5\) to \(t = 3\): \(t = 2,T = 89\); \(t=2.5,T = 91\); \(t = 3,T = 93\) (increase of \(3,2,2\))
From \(t = 3\) to \(t = 4.5\): \(t = 3.5,T = 94\); \(t = 4,T = 95\); \(t = 4.5,T = 95.5\) (increase of \(1,1,0.5\))
Assume a linear trend from \(t = 4.5\) (\(T = 95.5\)). Let the rate of increase be \(r\).
We can also use the fact that if we consider the last few points \((t_1 = 4,T_1 = 95)\), \((t_2 = 4.5,T_2 = 95.5)\), \((t_3=5,T_3)\), \((t_4 = 5.5,T_4)\)
If we assume the rate of increase continues (a simple linear extrapolation). The rate of increase from \(t = 4\) to \(t = 4.5\) is \(\frac{95.5 - 95}{4.5 - 4}=1^{\circ}C\) per minute.
Let \(T=a+bt\). Using two points \((t_1 = 0,T_1 = 75)\) and \((t_2=4.5,T_2 = 95.5)\)
\(b=\frac{95.5 - 75}{4.5}=\frac{20.5}{4.5}\approx4.56\) (not good). Using more points for a better fit.
Let's use the formula for the line of best fit \(y=mx + b\), where \(m=\frac{n\sum(xy)-\sum x\sum y}{n\sum(x^{2})-(\sum x)^{2}}\) and \(b=\frac{\sum y - m\sum x}{n}\)
\(n = 10\), \(\sum x=0 + 0.5+1.0+1.5+2.0+2.5+3.0+3.5+4.0+4.5=22.5\)
\(\sum y=75 + 79+83+86+89+91+93+94+95+95.5 = 860.5\)
\(\sum(xy)=0\times75+0.5\times79 + 1\times83+1.5\times86+2\times89+2.5\times91+3\times93+3.5\times94+4\times95+4.5\times95.5\)
\(=0 + 39.5+83+129+178+227.5+279+329+380+429.75=2074.75\)
\(\sum(x^{2})=0^{2}+0.5^{2}+1^{2}+1.5^{2}+2^{2}+2.5^{2}+3^{2}+3.5^{2}+4^{2}+4.5^{2}\)
\(=0 + 0.25+1+2.25+4+6.25+9+12.25+16+20.25=71.5\)
\(m=\frac{10\times2074.75-22.5\times860.5}{10\times71.5-(22.5)^{2}}=\f…

Answer:

5.5