Rachel and Marc were given the information shown below about the bacteria growing in a Petri dish in their biology class. 1 2 3| 4 5 6 7| 8 9| 10 Number of Hours, x Number of Bacteria, B(x) 220 280 350 440 550 | 690 860 1070 1340 1680 Rachel wants to model this information with a linear function. Marc wants to use an exponential function. Which model is the better choice? Explain why you chose this model.
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.
How would you do this?
Trending now
This is a popular solution!
Step by step
Solved in 3 steps
