5. Here is a scatterplot that compares age vs. serum cholesterol levels for 30 randomly sele adults in a local medical clinic. Assume that the correlation coefficient is r = 0.59. %3D 450 400 350 300 250 200 150 100 50 10 20 30 40 50 60 70 80 Age a. Does the data contain any outliers? If so, provide the coordinates of the outliers. Cholesterol Serim Level mg/dL
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.
Outlier : - The data point is far from the predicted line
Step by step
Solved in 2 steps
