Check the table below and create your analysis if the correlation result is: CorrelationsAgeCholesterolAgePearson Correlation1.882Sig. (2-tailed).0011010CholesterolPearson Correlation.8821Sig. (2-tailed).001N1010**. Correlation is significant at the 0.01 level (2-tailed).

Correlation measures the degree of the linear relationship between independent and dependent…

Correlations Age Cholesterol Age Pearson Correlation 1 .882 Sig. (2-tailed) .001 N 10 10 Cholesterol Pearson Correlation .882 1 Sig. (2-tailed) .001 N 10 10 ** Corrolation is significant at the 0.01 leveL(2-tailed)

Correlations Age Cholesterol Age Pearson Correlation 1 .882 Sig. (2-tailed) .001 N 10 10 Cholesterol Pearson Correlation .882 1 Sig. (2-tailed) .001 N 10 10 ** Corrolation is significant at the 0.01 leveL(2-tailed)

Algebra and Trigonometry (MindTap Course List)

4th Edition

ISBN:9781305071742

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section1.FOM: Focus On Modeling: Fitting Lines To Data

Problem 11P

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Question

Check the table below and create your analysis if the correlation result is:

Correlations
Age
Cholesterol
Age
Pearson Correlation
1
.882
Sig. (2-tailed)
.001
10
10
Cholesterol
Pearson Correlation
.882
1
Sig. (2-tailed)
.001
N
10
10
**. Correlation is significant at the 0.01 level (2-tailed).

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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