In investigating whether stress is a factor in aging, telomere length was measured in women with chronically ill children, and compared to the number of years since the child's diagnosis. Use the following summary data to calculate the correlation coefficient between telomere length and chronocity:Summary data: Sum of products: -9.084 Sum of squares for chronicity: 321.953 Sum of squares for telomere length: 2.438 Total sample size: 31
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.
In investigating whether stress is a factor in aging, telomere length was measured in women with chronically ill children, and compared to the number of years since the child's diagnosis. Use the following summary data to calculate the
Summary data:
Sum of products: -9.084
Sum of squares for chronicity: 321.953
Sum of squares for telomere length: 2.438
Total sample size: 31
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