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Mathematics LibreTexts

2.4E: Fitting Linear Models to Data (Exercises)

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  • Page ID
    13900
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    1. The following is data for the first and second quiz scores for 8 students in a class. Plot the points, then sketch a line that fits the data.

    First Quiz 11 20 24 25 33 42 46 49
    Second Quiz 10 16 23 28 30 39 40 49
    1. Eight students were asked to estimate their score on a 10 point quiz. Their estimated and actual scores are given. Plot the points, then sketch a line that fits the data.

    Predicted 5 7 6 8 10 9 10 7
    Actual 6 6 7 8 9 9 10 6

    Based on each set of data given, calculate the regression line using your calculator or other technology tool, and determine the correlation coefficient.

    3. x y 5 4 7 12 10 17 12 22 15 24 4. x y 8 23 15 41 26 53 31 72 56 103 5. x y 3 21.9 4 22.22 5 22.74 6 22.26 7 20.78 8 17.6 9 16.52 10 18.54 11 15.76 12 13.68 13 14.1 14 14.02 15 11.94 16 12.76 17 11.28 18 9.1 6. x y 4 44.8 5 43.1 6 38.8 7 39 8 38 9 32.7 10 30.1 11 29.3 12 27 13 25.8 14 24.7 15 22 16 20.1 17 19.8 18 16.8
    1. A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression are given below. Use this to predict the number of situps a person who watches 11 hours of TV can do.

    y=ax+b

    a=-1.341

    b=32.234

    r\({}^{2}\)=0.803

    r=-0.896

    1. A regression was run to determine if there is a relationship between the diameter of a tree (x, in inches) and the tree’s age (y, in years). The results of the regression are given below. Use this to predict the age of a tree with diameter 10 inches.

    y=ax+b

    a=6.301

    b=-1.044

    r\({}^{2}\)=0.940

    r=0.970

    Match each scatterplot shown below with one of the four specified correlations.

    9. r = 0.95 10. r = -0.89 11. r = 0.26 12. r = -0.39

    Aimage Bimage Cimage Dimage

    1. The US census tracks the percentage of persons 25 years or older who are college graduates. That data for several years is given below. Determine if the trend appears linear. If so and the trend continues, in what year will the percentage exceed 35%?

    Year 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008
    Percent Graduates 21.3 21.4 22.2 23.6 24.4 25.6 26.7 27.7 28 29.4
    1. The US import of wine (in hectoliters) for several years is given below. Determine if the trend appears linear. If so and the trend continues, in what year will imports exceed 12,000 hectoliters?

    Year 1992 1994 1996 1998 2000 2002 2004 2006 2008 2009
    Imports 2665 2688 3565 4129 4584 5655 6549 7950 8487 9462

    Section 2.5 Absolute Value Functions 159