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Theresa bought a house on 2 January 1970 for £8000 - AQA - A-Level Maths Mechanics - Question 8 - 2019 - Paper 2

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Theresa bought a house on 2 January 1970 for £8000. The house was valued by a local estate agent on the same date every 10 years up to 2010. The valuations are sho... show full transcript

Worked Solution & Example Answer:Theresa bought a house on 2 January 1970 for £8000 - AQA - A-Level Maths Mechanics - Question 8 - 2019 - Paper 2

Step 1

The values in the table of $\log_{10} V$ against $t$ have been plotted and a line of best fit has been drawn.

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Answer

From the data provided, we need to analyze the relationship between log10V\log_{10} V and tt:

  1. From the table, we note the following data points:

    • When t=0t = 0, log10V=3.90\log_{10} V = 3.90
    • When t=10t = 10, log10V=4.28\log_{10} V = 4.28
    • When t=20t = 20, log10V=4.66\log_{10} V = 4.66
    • When t=30t = 30, log10V=4.91\log_{10} V = 4.91
    • When t=40t = 40, log10V=5.31\log_{10} V = 5.31
  2. Plotting these points on a graph will allow us to visualize the linear relationship.

  3. The slope of the line of best fit can be calculated using two points from the data. Let’s use (0, 3.90) and (40, 5.31):

    The slope mm is given by:

    m=y2y1x2x1=5.313.90400=1.4140=0.03525m = \frac{y_2 - y_1}{x_2 - x_1} = \frac{5.31 - 3.90}{40 - 0} = \frac{1.41}{40} = 0.03525

  4. This shows that for every increase of 1 in tt, log10V\log_{10} V increases by approximately 0.035250.03525.

  5. Furthermore, we can estimate pp and qq from the line, noting that:

    • The intercept gives us a direct correlation to log10p\log_{10} p.

    This concludes the analysis of how log10V\log_{10} V varies with tt.

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