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: ...
Purchase this Solution
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