Question

Use the correlation section of the PDF instructions provided. Do a complete and thorough write up on the following correlation analysis. The variable Stay represents the average length of stay in days at a sample of hospitals across the country. Age is the average age of patients. Culture is a measure of the level of understanding of the importance of each employee in helping patients get well.

Correlations
		Stay	Age	Culture
Stay	Pearson Correlation	1	.189*	.327**
	Sig. (2-tailed)		.045	.000
	N	113	113	113
Age	Pearson Correlation	.189*	1	-.226*
	Sig. (2-tailed)	.045		.016
	N	113	113	113
Culture	Pearson Correlation	.327**	-.226*	1
	Sig. (2-tailed)	.000	.016
	N	113	113	113
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).

Answer 1

The variable Stay represents the average length of stay in days at a sample of hospitals across the country.

P value against Age = 0.045

P < 0.05

Relationship between Stay and Age is significant but weak.

P value against Culture = 0.000

P < 0.05

Relationship between Stay and Culture is significant but strong.

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Age is the average age of patients.

P value against Stay = 0.045

P < 0.05

Relationship between Stay and Age is significant but weak.

P value against Culture = 0.016

P < 0.05

Relationship between Age and Culture is significant but weak.

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Culture is a measure of the level of understanding of the importance of each employee in helping patients get well.

P value against Stay = 0.000

P < 0.05

Relationship between Culture and Stay is significant but strong.

P value against age = 0.016

P < 0.05

Relationship between Age and Culture is significant but weak.

Please let me know in case of any doubt.

Thanks in advance!

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