For a data set of chest sizes (distance around chest in inches) and weights (pounds) of nine anesthetized bears that were measured, the linear correlation coefficient is r=0.765. Use the table available below to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear correlation? LOADING... Click the icon to view the table of critical values of r. The critical values are nothing. (Type integers or decimals. Do not round. Use a comma to separate answers as needed.) Since the correlation coefficient r is ▼ in the right tail above the positive critical value between the critical values in the left tail below the negative critical value , there ▼ is not is sufficient evidence to support the claim of a linear correlation.
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.
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