d) Write down the new least square regression line from that specific output. e) Interpret the coefficients with all the independent variables with proper UNITS. f) Comment on the explanatory power of the regression model from the required output. Copy the output into your assignment word document.
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.
d) Write down the new least square regression line from that specific output.
e) Interpret the coefficients with all the independent variables with proper UNITS.
f) Comment on the explanatory power of the regression model from the required output. Copy the output into
your assignment word document.
g) Compare the two regression models that you have found using the appropriate parameter. Which is better
and why?
h) If you were to add a DUMMY VARIABLE in this regression model what would be an appropriate one? Why?
Give sound logical reasoning
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