2a. Give examples of two variables that have a strong positive linear correlation and two variables that havestrong negative linear correlation.2b. Explain in your own words why the linear correlation coefficient should not be used when its absolutevalue is too low or close to zero. Give an example.2c. In the passage below identify the explanatory variable and the response variable. Explain why youanswered this way.A nutritionist wants to determine if the amounts of water consumed each day by persons of the same weight and on the same diet can be used to predict individual weight loss.
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.
2a. Give examples of two variables that have a strong
strong
2b. Explain in your own words why the linear
value is too low or close to zero. Give an example.
2c. In the passage below identify the explanatory variable and the response variable. Explain why you
answered this way.
A nutritionist wants to determine if the amounts of water consumed each day by persons of the same weight and on the same diet can be used to predict individual weight loss.
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