BEFORE AND AFTER BACTERIA BEFORE AND AFTER BACTERIA CULTURES CULTURES 400 7000 360 6000 350 318 5580 5580 5520 5540 5540 5480 5000 300 4000 R2 = 0.1804 250 216 R2 = 0.1844 3000 200 178 2000 150 1000 R2 0.7554 107 100 40 40 40 74 BEFORE AFTER DIFFERENCE 42 50 38 BRENDA 33 -1000 -2000 CONTROL ANTIBACTERIA NON-ANTIBACTERIA STEPHANIE BEFORE STEPHANIE AFTER -3000 STEPHANIE DI FFER ENCE Linear (STEPHANIE BEFORE) CONTROL Linear (CONTROL) ANTI BACTERIA Linear (STEPHANIE AFTER) NON-ANTIBACTERIA
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.
BASED ON THIS DATA, what does the r^2 values tell you? and the linear regression line
is the information statistically significant?
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