With the vibrating wear of mild steel and oil viscosity in an article in Wear(1992) relevant data is presented. Representative data, X: oil viscosity and y: wear volume (10^4 mm^3) with is the following a)Using a simple linear regression model by creating a scatter diagram of the data Explain whether it is reasonable. b) establish a simple linear regression model using the least
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.
With the vibrating wear of mild steel and oil viscosity in an article in Wear(1992)
relevant data is presented. Representative data, X: oil viscosity and y: wear volume (10^4 mm^3)
with is the following
a)Using a simple linear regression model by creating a
b) establish a simple linear regression model using the least squares method
note: can you write the solutions legibly.
Step by step
Solved in 2 steps with 2 images
