Nothing Special   »   [go: up one dir, main page]
Scribd Logo
Upload

Welcome to Scribd!

  • 5 views

    multiple linear regression(1)

    Uploaded by

    cyrus Liadevera
    The regression analysis indicates a strong relationship between the independent variables and the dependent variable, with an R-squared value of 0.9525. The ANOVA results show significant regression with a p-value of 0.0103. Coefficients for the intercept and MONTHS suggest a positive impact, although the p-values indicate that MONTHS and OUTPUT are not statistically significant.

    Copyright:

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

    multiple linear regression(1)

    Uploaded by

    cyrus Liadevera
    5 views5 pages
    The regression analysis indicates a strong relationship between the independent variables and the dependent variable, with an R-squared value of 0.9525. The ANOVA results show significant regression with a p-value of 0.0103. Coefficients for the intercept and MONTHS suggest a positive impact, although the p-values indicate that MONTHS and OUTPUT are not statistically significant.

    Copyright

    © © All Rights Reserved

    Available Formats

    XLSX, PDF, TXT or read online from Scribd

    Did you find this document useful?

    Is this content inappropriate?

    The regression analysis indicates a strong relationship between the independent variables and the dependent variable, with an R-squared value of 0.9525. The ANOVA results show significant regression with a p-value of 0.0103. Coefficients for the intercept and MONTHS suggest a positive impact, although the p-values indicate that MONTHS and OUTPUT are not statistically significant.

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd
    Download as xlsx, pdf, or txt
    5 views5 pages

    multiple linear regression(1)

    Uploaded by

    cyrus Liadevera
    The regression analysis indicates a strong relationship between the independent variables and the dependent variable, with an R-squared value of 0.9525. The ANOVA results show significant regression with a p-value of 0.0103. Coefficients for the intercept and MONTHS suggest a positive impact, although the p-values indicate that MONTHS and OUTPUT are not statistically significant.

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd
    Download as xlsx, pdf, or txt
    You are on page 1of 5

    SUMMARY OUTPUT

    Regression Statistics
    Multiple R 0.97598470508
    R Square 0.95254614455
    Adjusted R Square 0.92091024092
    Standard Error 0.60865132181
    Observations 6

    ANOVA
    df SS MS F Significance F
    Regression 2 22.3086307054 11.15431535 30.109655 0.0103373032
    Residual 3 1.11136929461 0.370456432
    Total 5 23.42

    Coefficients Standard Error t Stat P-value Lower 95% Upper 95%


    Intercept 4.41991701245 1.67337973009 2.641311433 0.07756872 -0.905524127 9.7453582
    MONTHS 0.82074688797 0.53110217811 1.545365321 0.21997246 -0.869457276 2.5109511
    OUTPUT(STANDARD 0.0979253112 0.16401330216 0.597057128 0.59252761 -0.424038216 0.6198888
    Lower 95.0%Upper 95.0%
    -0.90552413 9.7453582
    -0.86945728 2.5109511
    -0.42403822 0.6198888
    SUMMARY OUTPUT

    Regression Statistics
    Multiple R 0.9759847
    R Square 0.9525461
    Adjusted R 0.9209102
    Standard Er0.6086513
    Observatio 6

    ANOVA
    df SS MS F Significance F
    Regression 2 22.308631 11.154315 30.109655 0.0103373
    Residual 3 1.1113693 0.3704564
    Total 5 23.42

    Coefficients
    Standard Error t Stat P-value Lower 95%Upper 95%Lower 95.0%Upper 95.0%
    Intercept 4.419917 1.6733797 2.6413114 0.0775687 -0.905524 9.7453582 -0.905524 9.7453582
    MONTHS 0.8207469 0.5311022 1.5453653 0.2199725 -0.869457 2.5109511 -0.869457 2.5109511
    OUTPUT(ST0.0979253 0.1640133 0.5970571 0.5925276 -0.424038 0.6198888 -0.424038 0.6198888
    MONTHS OUTPUT(STANDAR TOTAL POWER COSTS $
    1 12 6.2
    2 18 8 SUMMARY OUTPUT
    3 19 8.6
    4 20 10.4 Regression Statistics
    5 24 10.2 Multiple R 0.9759847
    6 30 12.4 R Square 0.9525461
    MEASURE OF CENTRAL TENDANCIES Adjusted R 0.9209102
    MEAN 20.5 9.3 Standard Er0.6086513
    MEDIAN 19.5 9.4 Observatio 6

    ANOVA
    df SS MS
    Regression 2 22.308631 11.154315
    MULTI COLLENIARITY Residual 3 1.1113693 0.3704564
    No collinearity.R² is at zero Total 5 23.42

    Coefficients
    Standard Error t Stat
    MEASURES OF DISPERSION Intercept 4.419917 1.6733797 2.6413114
    S.DEVIATI 5.53022 1.975685535 MONTHS 0.8207469 0.5311022 1.5453653
    VARIANCE 10.45 OUTPUT(ST0.0979253 0.1640133 0.5970571

    DISTRIBUTION OF DATA GRAPH


    35

    30

    25

    20

    15

    10

    0
    0 1 2 3 4 5 6 7

    OUTPUT(STANDARD UNITS)
    TOTAL POWER COSTS $
    F Significance F
    30.109655 0.0103373

    P-value Lower 95%Upper 95%


    0.0775687 -0.905524 9.7453582
    0.2199725 -0.869457 2.5109511
    0.5925276 -0.424038 0.6198888

    You might also like