8. Melody and Adolfo gathered research data to predict the number of new types of plants (y) that will be in a state park after x years. After making a scatterplot of the data, they determined the equation of a line of best fit as: y = 0.25x + 8 A. Does their equation indicate positive, negative, or no correlation? B. Based on this equation, how many types of plants were in the park when they started their research? C. Based on the equation, what is the number of new types of plants that will be in the park after 24 years? D. Based on the equation, how long would it take for there to be 12 new types of plants in the park?

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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.