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    Significant correlation between women's age and women's weight

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    Sample size, n: 40
    Degrees of freedom: 38

    Correlation Results:
    Correlation coeff, r: 0.5630033
    Critical r: ±0.3120061
    P-value (two-tailed): 0.00016

    Reject the Null Hypothesis
    Sample provides evidence to support linear correlation

    Regression Results:
    Y= b0 + b1x:
    Y Intercept, b0: 89.71354
    Slope, b1: 1.700721

    Total Variation: 55198.36

    Using the data above Interpret r and r squared. Explain whether there is a significant correlation between women's age and women's weight at the 0.05 significance level, and explain how much of the variation in women's weight is explained by its linear association with women's age

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    Interpret r and r squared. Explain whether there is a significant correlation between women’s age and women’s weight at the 0.05 significance level, and explain how much of the variation in women’s weight is explained by its linear association with women’s age
    Sample size, n: 40
    Degrees of freedom: 38

    Correlation Results:
    Correlation coeff, r: ...

    Solution Summary

    The expert examines the significant correlation between women's age and women's weight.

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