A student has access to rainfall and sunshine data for a particular location over a period of 60 years. She randomly selected a sample of 25 months from the 720 months available, and noted for each month in the sample the total rainfall (in mm) and the total sunshine (in hours). She then performed a regression analysis. Part of the computer output is shown below:
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.
Please use linear regression test statistics, and defined everything -- all parts.
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