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    July July: Aboitiz Equity Ventures

    Uploaded by

    Miko Arniño
    The document contains stock price data for Abioutiz Equity Ventures from July 1-28. A linear regression was performed, finding a significant positive relationship between price (y) and date (x) for the first data set with a slope of 0.301 and intercept of 47.06. However, the second data set showed no significant relationship between price (y) and date (x).

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    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd

    July July: Aboitiz Equity Ventures

    Uploaded by

    Miko Arniño
    18 views3 pages
    The document contains stock price data for Abioutiz Equity Ventures from July 1-28. A linear regression was performed, finding a significant positive relationship between price (y) and date (x) for the first data set with a slope of 0.301 and intercept of 47.06. However, the second data set showed no significant relationship between price (y) and date (x).

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    Original Title

    ABOITIZ.xlsx

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    © © All Rights Reserved

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    The document contains stock price data for Abioutiz Equity Ventures from July 1-28. A linear regression was performed, finding a significant positive relationship between price (y) and date (x) for the first data set with a slope of 0.301 and intercept of 47.06. However, the second data set showed no significant relationship between price (y) and date (x).

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd
    Download as xlsx, pdf, or txt
    18 views3 pages

    July July: Aboitiz Equity Ventures

    Uploaded by

    Miko Arniño
    The document contains stock price data for Abioutiz Equity Ventures from July 1-28. A linear regression was performed, finding a significant positive relationship between price (y) and date (x) for the first data set with a slope of 0.301 and intercept of 47.06. However, the second data set showed no significant relationship between price (y) and date (x).

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd
    Download as xlsx, pdf, or txt
    of 3

    ABOITIZ EQUITY VENTURES

    July x y x y July x y
    1 1 46.50 11 50.3740 15 11 48.20
    2 2 46.95 12 50.6750 16 12 49.25
    3 3 48.50 13 50.9760 17 13 49.75
    6 4 49.00 14 51.2770 20 14 49.55
    7 5 49.30 15 51.5780 21 15 51.60
    8 6 49.60 16 51.8790 22 16 49.50
    9 7 49.20 17 52.1800 23 17 49.45
    10 8 49.30 18 52.4810 24 18 50.00
    13 9 48.85 19 52.7820 27 19 49.00
    14 10 50.00 20 53.0830 28 20 49.50

    y= 47.063+0.301x y= 57.092+0.177

    SLOPE 0.301212 SLOPE 0.1771871539


    INTERCEPT 47.06333 INTERCEPT 40.414374308

    SUMMARY OUTPUT

    Regression Statistics
    Multiple R 0.8060358
    R Square 0.64969371
    Adjusted R 0.60590542
    Standard E 0.71027097
    Observatio 10

    ANOVA
    df SS MS F Significance F
    Regression 1 7.485121 7.485121 14.83716 0.004864 This is < 0.05, that's why there is significance
    Residual 8 4.035879 0.504485
    Total 9 11.521

    Coefficients
    Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0%
    bo Intercept 47.0633333 0.485207 96.99631 1.425E-13 45.94444 48.1822237 45.944442964
    b1 X Variable 0.30121212 0.078198 3.851903 0.004864 0.120887 0.48153763 0.1208866104

    Intercept= Significant
    X Variable= Significant
    x y
    50.3740 48.20
    50.6750 49.25
    50.9760 49.75
    51.2770 49.55
    51.5780 51.60
    51.8790 49.50
    52.1800 49.45
    52.4810 50.00
    52.7820 49.00
    53.0830 49.50

    092+0.177

    SUMMARY OUTPUT

    Regression Statistics
    Multiple R 0.187626
    R Square 0.035204
    Adjusted R-0.085396
    Standard E 0.896614
    Observatio 10

    ANOVA
    df SS MS F Significance F
    at's why there is significance Regression 1 0.234667 0.234667 0.291904 0.603714 This is > 0.05, that's why
    Residual 8 6.431333 0.803917
    Total 9 6.666

    Upper 95.0% Coefficients


    Standard Error t Stat P-value Lower 95%Upper 95%
    48.18222 bo Intercept 40.41437 16.9669 2.381954 0.04441 1.288626 79.54012
    0.481538 b1 X Variable 0.177187 0.327953 0.540282 0.603714 -0.579075 0.933449

    Intercept= Significant
    X Variable=Not Significant
    This is > 0.05, that's why there is no significance

    Lower 95.0%
    Upper 95.0%
    1.288626 79.54012
    -0.579075 0.933449

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