2. The kinematic viscosity, µ of an oil with variation in temperature, T was found to be as follows: T 1 20 40 60 80 100 120 2.5x10 5.5×10* 1x10* 5×10 2×105 1.2×10$ 6×10 The relationship between the two parameters is given as H= aelT where a and b are constants. By using the least square linearization process, determine the value of a and b so that the given data can be fitted to a curve. (Use up to 6 decimal places for all calculations)
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.
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