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Determining a linear correlation
In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the before/after weights result in r = 0.876.
Is there sufficient evidence to support a claim of a linear correlation between before/after weights?
Does the value of r indicate that the program is effective in reducing weight? Why or why not?
Comprise the order of priority among the three and explain why they should be viewed in that order. Illustrate explain how a business can maximize the relationship among these three.
The information provided discusses: issues faced by gay and lesbian people and making a workplace better for gay and lesbian workers.
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