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  • A regression problem

    my data is
    x y
    8.84 -7.57
    2.88 3.15
    5.17 -2.42
    6.07 -2.20
    5.03 -9.25
    2.17 -3.43
    0.48 -8.00
    12.06 -3.66
    1.89 -6.66
    17.97 -2.11
    5.16 1.33
    17.22 8.06
    6.65 5.07
    15.30 -3.03
    9.90 6.74
    8.40 2.64
    20.54 9.72
    25.74 11.67
    13.61 -5.94
    17.91 7.08
    21.50 12.48
    21.47 1.52
    30.74 6.97
    26.06 2.35
    20.01 5.48
    30.30 18.46
    27.49 16.81
    24.66 -0.14
    27.86 13.90
    27.67 4.20

    The forumla for my regression line is:
    y= 0.53964x+-5.51398

    The value for Y is: 5.267

    The correlation is :
    0.6983

    https://www.desmos.com/calculator

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  • A regression problem

    My formula for the regression line is Y= -4.622x-3.66
    The y-value is x=20 is y=-96.1
    My correlation is -0.9936
    My graph looks like:
    https://www.desmos.com/calculator/pgujiatp0v

    mark
  • A regression problem

    My data is:

    x y
    8.67 -10.97
    2.77 8.44
    6.23 -4.10
    0.10 12.62
    12.58 -10.39
    6.82 -6.25
    0.85 8.56
    14.10 -21.29
    4.11 -7.17
    13.63 -22.24
    11.61 -11.49
    8.43 -7.03

    The formula for my regression line is:
    y=-2.11995x+9.93943

    The y-value for x=20 is y=-32.459

    My correlation is: 0.8721

    mark
  • A regression problem

    My data Is:

    x y
    4.06 -17.24
    8.59 -27.01
    8.76 -37.47
    -2.80 -9.79
    12.32 -43.23
    3.35 -19.15
    5.76 -16.50
    1.54 -11.62
    8.90 -30.16
    17.53 -52.08
    18.33 -48.86
    17.51 -52.24
    9.18 -31.97
    14.33 -44.10
    10.06 -30.43
    11.81 -43.60
    18.18 -53.09
    20.64 -63.05
    22.19 -53.85
    14.91 -37.78
    19.74 -55.16
    22.54 -60.55
    17.21 -46.00

    The formula for my regression line is:
    y=-2.20323 - 11.2088

    At an X-Value of 20, the Y-Value would be: -55.2734244841

    The correlation: r =-0.9655

    https://www.desmos.com/calculator/m9eoenysuo

    mark
  • A regression problem

    My data set is:

    x y
    -4.49 26.80
    8.97 -36.03
    10.91 -51.42
    11.52 -47.41
    6.40 -22.97
    12.87 -54.85
    10.25 -47.69
    14.13 -55.48
    2.59 0.94
    17.24 -73.70
    12.67 -57.78
    12.73 -53.82
    5.15 -14.73
    7.09 -17.75
    17.59 -64.09
    18.03 -73.92
    23.58 -103.44
    17.90 -71.78
    23.48 -98.73
    17.47 -71.05
    21.33 -83.57
    22.39 -94.79
    29.90 -122.42

    The formation for my regression line is

    y= -4.4342 + 5.56229

    The Y value for x=20 is: −83.1216452504

    My correlation is: -0.9908

    mark
  • A regression problem

    x y
    5.52 -27.06
    8.07 -24.71
    2.32. 0.60
    -3.49 17.09
    9.05 -38.66
    6.99 -22.87
    12.06 -47.75
    4.29 -11.90
    1.09 4.20
    10.79 -43.87
    16.74 -57.34
    12.65 -46.71
    8.05 -36.34
    14.27 -52.48
    21.61 -88.83
    12.25 -40.19
    15.38 -66.73
    16.33 -59.16
    18.34 -69.10
    24.24 -97.02

    The formula for my regression line is:
    m line = -4.14583
    b line = 4.44746
    -78.469
    my correlation is :0.9862

    mark
  • A regression problem

    My data is:

    x y
    -1.14 -8.50
    8.20 -28.41
    3.40 -9.32
    1.04 -8.33
    5.00 -15.61
    8.53 -38.48
    13.93 -60.22
    6.53 -34.59
    5.41 -18.16
    6.60 -23.53
    9.37 -29.66
    8.98 -40.72
    7.35 -23.05

    My formula for regression is:
    y1 = mx +b
    y1=-3.55463(x) -3.29496

    x = 20
    y =-74.388

    My correlation is:
    r=-.9109

    mark
  • A regression problem

    The formula for my regression line is below:
    1. y= -4.00538 + -8.91342
    2. y-value if your model predicts if x=20:
    y= -89.021
    3. My correlation: -0.9873

    mark
  • A regression problem

    My data set is:
    x y
    -6.91 12.95
    8.88 -30.89
    -0.83 -8.84
    3.40 -19.39
    11.19 -30.90
    2.81 -13.74
    13.96 -51.46
    14.59 -39.64
    14.62 -41.89
    8.12 -24.51
    17.74 -48.74
    17.26 -62.96
    15.62 -56.90
    7.08 -32.17
    16.85 -60.95
    10.11 -39.18

    My Formula for the regression line is:

    y=-2.76505x + -7.62739

    What y value if x=20:

    -62.9282881614

    Correlation:

    -0.9604

    mark
  • A regression problem

    My data is as follows:
    5.74 8.63
    -0.74 -2.48
    8.07 -2.27
    2.62 6.36
    -1.89 6.17
    2.31 9.21
    6.64 -2.04
    7.13 0.70
    11.77 3.88
    17.28 3.66
    3.10 0.52
    18.57 18.50
    11.20 9.86
    21.04 12.74
    17.76 8.14
    11.30 12.48
    17.47 18.63

    The formula of my regression line is:
    y = 0.531948x + 1.64197
    At an x value of 20 my y equals 12.21
    regression: r= 0.5743 positive correlation

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