ASSINGMENT TWO The data set provided by JOHN shows the number of yearly values of flood damage relief items represented by y and the annual rainfall (in centimetres) represented by x over a period of 10 years. y(000s) x (cm) 4.0 110 1.5 250 1.2 220 3.0 150 3.0 450 2.5 200 2.0 210 2.0 230 1.1 290 3.0 100 (d) Use your results to predict the value of flood damage amount in years with 50cm of Rainfall, in years with 250cm of rainfall and in years with 550cm of rainfall. Comment on the likely accuracy of your predictions. continuation of requirement d.
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.
ASSINGMENT TWO
The data set provided by JOHN shows the number of yearly values of flood damage relief
items represented by y and the annual rainfall (in centimetres) represented by x over a period
of 10 years.
y(000s) x (cm)
4.0 110
1.5 250
1.2 220
3.0 150
3.0 450
2.5 200
2.0 210
2.0 230
1.1 290
3.0 100
(d) Use your results to predict the value of flood damage amount in years with 50cm of
Rainfall, in years with 250cm of rainfall and in years with 550cm of rainfall. Comment on the
likely accuracy of your predictions.
continuation of requirement d.
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