Think of two variables, they could be from everyday life, that you feel would be strongly correlated, either positively or negatively. Describe why you would care about those two variables being correlated, and if you were to find a linear equation (best fit line) for them, what would you use it for. If you need to do some research online to find examples to post, that would be encouraged. 1.) Describe why these variables/correlation have personal meaning in your life 2.) Note whether they have a positive or negative correlation 3.) Describe what the best fit regression line would represent
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.
Think of two variables, they could be from everyday life, that you feel would be strongly correlated, either positively or negatively. Describe why you would care about those two variables being correlated, and if you were to find a linear equation (best fit line) for them, what would you use it for. If you need to do some research online to find examples to post, that would be encouraged.
1.) Describe why these variables/
2.) Note whether they have a positive or
3.) Describe what the best fit regression line would represent
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