(CLO 3) Create a scatterplot with the height on the x-axis and the weight on the y-axis. 1. Find the correlation coefficient between the height and the weight.  2. What does the correlation coefficient tell you about your data? 3. Construct the equation of the regression line and use it to predict the weight of a person who is 68 inches tall.   Person 1 Person 2 Person 3 Person 4 Person 5 Person 6 Person 7 Person 8 Person 9 Height (inches) 63 72 69 63 65 70 66 70 70 Weight (lbs) 260 205 265 202 217 170 230 200 185

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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.