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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

https://brainmass.com/statistics/correlation/significant-correlation-between-womens-age-womens-weight-413017

#### Solution Preview

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