Question 4: here is the scatter plot along with the regression line y = -196.4468 + 5.10209x , where x = height ( inches) and y = weight Find the predicted weight for a height of 62 . Show work 4b . calculate and interpret the residual fro the person that is 62 inches tall and 119 pounds 4c . Interpret the slope of the regression line 4d . Interpret the y-intercept of the regression line
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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