TABLE 12.29 Protein intake (mg) among three dietary groups of postmenopausal women Group Mean sd STD 75 10 LAC 57 13 10 VEG 47 17
Correlation
Correlation defines a relationship between two independent variables. It 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.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Researchers compared protein intake among three
groups of postmenopausal women: (1) women eating a
standard American diet (STD), (2) women eating a lactoovo-vegetarian diet (LAC), and (3) women eating a strict
vegetarian diet (VEG). The mean ± 1 sd for protein intake
(mg) is presented in Table 12.29.
*12.1 Perform a statistical procedure to compare
the means of the three groups using the critical-value
method and What is the p-value from the test performed
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