Another thing that was noticed was that the cure was not immediately effective and based on the dosage would take longer to cure. Here is some data to consider Dosag in (mg) Duration for all symptoms to disappear (in days) 10 2.2 9 2.8 11 2.1 15 1.6 12 2.3 8 2.9 6 3.4 6 3.5 13 2.0 13) How correlated is the data, interpret this in words 14) Which is the predictor variable, and which is the response (Explain how you know) 15) Determine the least squares 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.
Another thing that was noticed was that the cure was not immediately effective and based on the dosage would take longer to cure. Here is some data to consider
Dosag in (mg) Duration for all symptoms to disappear (in days)
10 2.2
9 2.8
11 2.1
15 1.6
12 2.3
8 2.9
6 3.4
6 3.5
13 2.0
13) How
14) Which is the predictor variable, and which is the response (Explain how you know)
15) Determine the least squares regression line
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