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The table shows approximate values of x and y that satisfy a relationship of the form y = ab^x. Plot 10(y) against x to verify.

Mathematics

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Answer

a=2.22,b=1.05a = 2.22, b = 1.05

Step-by-step solution

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Question 3:
The table shows approximate values of xx and yy that satisfy a relationship of the form y=abxy = ab^x.

xx102035506080
yy3.475.5010.4720.8933.1179.43
  1. Linearize the relationship y=abxy = ab^x.

    Take the logarithm base 10 of both sides:

    log⁡10(y)=log⁡10(abx)\log_{10}(y) = \log_{10}(ab^x)

    Using logarithm properties, log⁡(MN)=log⁡M+log⁡N\log(MN) = \log M + \log N and log⁡(Mp)=plog⁡M\log(M^p) = p \log M:

    log⁡10(y)=log⁡10(a)+log⁡10(bx)\log_{10}(y) = \log_{10}(a) + \log_{10}(b^x) log⁡10(y)=log⁡10(a)+xlog⁡10(b)\log_{10}(y) = \log_{10}(a) + x \log_{10}(b)

    This equation is in the form of a straight line Y=mX+CY = mX + C, where:
    Y=log⁡10(y)Y = \log_{10}(y)
    X=xX = x
    m=log⁡10(b)m = \log_{10}(b) (gradient)
    C=log⁡10(a)C = \log_{10}(a) (Y-intercept)

  2. Create a new table with values for X=xX=x and Y=log⁡10(y)Y=\log_{10}(y).

    Calculate log⁡10(y)\log_{10}(y) for each given yy value (rounded to 3 decimal places for plotting accuracy):

    X=xX = xY=log⁡10(y)Y = \log_{10}(y)
    10log⁡10(3.47)≈0.540\log_{10}(3.47) \approx 0.540
    20log⁡10(5.50)≈0.740\log_{10}(5.50) \approx 0.740
    35log⁡10(10.47)≈1.020\log_{10}(10.47) \approx 1.020
    50log⁡10(20.89)≈1.320\log_{10}(20.89) \approx 1.320
    60log⁡10(33.11)≈1.520\log_{10}(33.11) \approx 1.520
    80log⁡10(79.43)≈1.900\log_{10}(79.43) \approx 1.900
  3. Verify the relationship by drawing a linear graph.

    To verify the relationship y=abxy = ab^x, plot the points (X,Y)(X, Y) from the table above, i.e., plot log⁡10(y)\log_{10}(y) on the vertical axis against xx on the horizontal axis.

    • Choose appropriate scales for both axes to accommodate the range of values.
    • Plot the six points: (10,0.540)(10, 0.540), (20,0.740)(20, 0.740), (35,1.020)(35, 1.020), (50,1.320)(50, 1.320), (60,1.520)(60, 1.520), (80,1.900)(80, 1.900).
    • Draw a line of best fit through these plotted points.
    • If the points lie approximately on a straight line, then the relationship y=abxy = ab^x is verified. Observing the calculated points, they appear to form a nearly straight line.
  4. Find the approximate values of constants aa and bb using the graph.

    From the line of best fit drawn in Step 3, determine its gradient (mm) and Y-intercept (CC).
    Let's use two points from the line of best fit to calculate the gradient and Y-intercept. For demonstration, we'll use the first and last transformed data points as if they were read from the line of best fit: (X1,Y1)=(10,0.540)(X_1, Y_1) = (10, 0.540) and (X2,Y2)=(80,1.900)(X_2, Y_2) = (80, 1.900).

    Calculate the gradient mm:

    m=Y2−Y1X2−X1=1.900−0.54080−10=1.36070≈0.019428m = \frac{Y_2 - Y_1}{X_2 - X_1} = \frac{1.900 - 0.540}{80 - 10} = \frac{1.360}{70} \approx 0.019428

    Calculate the Y-intercept CC using the equation Y=mX+CY = mX + C and one of the points, e.g., (10,0.540)(10, 0.540):

    0.540=(0.019428)(10)+C0.540 = (0.019428)(10) + C 0.540=0.19428+C0.540 = 0.19428 + C C=0.540−0.19428=0.34572C = 0.540 - 0.19428 = 0.34572

    Now, relate mm and CC back to aa and bb:

    m=log⁡10(b)  ⟹  b=10mm = \log_{10}(b) \implies b = 10^m C=log⁡10(a)  ⟹  a=10CC = \log_{10}(a) \implies a = 10^C

    Substitute the calculated values for mm and CC:

    b=100.019428≈1.0456b = 10^{0.019428} \approx 1.0456 a=100.34572≈2.2166a = 10^{0.34572} \approx 2.2166

    Rounding the answers to 2 decimal places:

    a≈2.22a \approx 2.22 b≈1.05b \approx 1.05

    The approximate values of the constants are a=2.22,b=1.05a = 2.22, b = 1.05.

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