Suppose a doctor is monitoring cancer cells in a patient in order to initiate curative treatment before the count reaches 60,000. The data are shown in the following table: Tiempo Conteo de en días células 597 2 893 4. 1339 6. 1995 2976 10 4433 12 6612 14 9865 16 14719 18 21956 20 32763 On a Cartesian plane, diagram the dataset.
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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