7. Determine the coefficient of correlation for the following data. The data given relate the number of hours of sunshine per week to the number of hours lost due to sickness. Hours of sunshine/week Hours lost due to sickness 10 90 13 75 15 75 17 65 18 55 20 45 22 55 23 45 24 35
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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7. Determine the coefficient of correlation for the following data. The data given relate the number of hours of
sunshine per week to the number of hours lost due to sickness.
Hours lost due to sickness
Hours of sunshine/week
90
10
75
13
75
15
65
17
55
18
45
20
55
22
45
23
35
24
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