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#13
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REASONING The table shows the weights (in pounds) and the prescribed dosages (in milligrams) of medicine for six patients.




Weight 
(lb),x
Dosage 
(mg),y


94
72


119
90


135
103


150
115


185
140


202
156




a. Find an equation of the line of best fit. Round the slope and the 
y-intercept to the nearest tenth, if necessary.

\#1313\newlineCheck\newlineSkills Review\newlineListen\newlineREASONING The table shows the weights (in pounds) and the prescribed dosages (in milligrams) of medicine for six patients.\newline\begin{tabular}{|l|l|}\newline\hline Weight (lb),x (\mathrm{lb}), x & Dosage (mg),y (\mathrm{mg}), y \\\newline\hline 9494 & 7272 \\\newline\hline 119119 & 9090 \\\newline\hline 135135 & 103103 \\\newline\hline 150150 & 115115 \\\newline185185 & 140140 \\\newline\hline 202202 & 156156 \\\newline\hline\newline\end{tabular}\newlinea. Find an equation of the line of best fit. Round the slope and the y y -intercept to the nearest tenth, if necessary.

Full solution

Q. \#1313\newlineCheck\newlineSkills Review\newlineListen\newlineREASONING The table shows the weights (in pounds) and the prescribed dosages (in milligrams) of medicine for six patients.\newline\begin{tabular}{|l|l|}\newline\hline Weight (lb),x (\mathrm{lb}), x & Dosage (mg),y (\mathrm{mg}), y \\\newline\hline 9494 & 7272 \\\newline\hline 119119 & 9090 \\\newline\hline 135135 & 103103 \\\newline\hline 150150 & 115115 \\\newline185185 & 140140 \\\newline\hline 202202 & 156156 \\\newline\hline\newline\end{tabular}\newlinea. Find an equation of the line of best fit. Round the slope and the y y -intercept to the nearest tenth, if necessary.
  1. Calculate Slope: First, let's calculate the slope mm of the line using the formula m=y2y1x2x1m = \frac{y_2 - y_1}{x_2 - x_1}. We can pick two points from the table, let's use (94,72)(94, 72) and (202,156)(202, 156).
  2. Find Y-Intercept: Now, m=1567220294=84108=0.77777777778m = \frac{156 - 72}{202 - 94} = \frac{84}{108} = 0.77777777778, which we round to 0.80.8 to keep it to the nearest tenth.
  3. Use Point-Slope Formula: Next, we need to find the yy-intercept (bb) of the line. We can use the point-slope formula yy1=m(xx1)y - y_1 = m(x - x_1) with one of the points and the slope we just found. Let's use the point (94,72)(94, 72) again.
  4. Solve for Y-Intercept: So, 72b=0.8(94x)72 - b = 0.8(94 - x). To find bb, we need to solve for bb when xx is 00. So, 72b=0.8(94)72 - b = 0.8(94).
  5. Write Equation of Line: Calculating that gives us 72b=75.272 - b = 75.2. Now, we solve for bb by adding bb to both sides and subtracting 7272 from both sides, which gives us b=75.272b = 75.2 - 72.
  6. Write Equation of Line: Calculating that gives us 72b=75.272 - b = 75.2. Now, we solve for bb by adding bb to both sides and subtracting 7272 from both sides, which gives us b=75.272b = 75.2 - 72. So, b=3.2b = 3.2. Now we have both the slope and the y-intercept, so we can write the equation of the line of best fit.
  7. Write Equation of Line: Calculating that gives us 72b=75.272 - b = 75.2. Now, we solve for bb by adding bb to both sides and subtracting 7272 from both sides, which gives us b=75.272b = 75.2 - 72. So, b=3.2b = 3.2. Now we have both the slope and the y-intercept, so we can write the equation of the line of best fit. The equation of the line is y=0.8x+3.2y = 0.8x + 3.2. This is the line of best fit for the data provided.