Here are data for height and weight among 10 male college students.Height (cm) Weight (kg)159 48162 50161 52175 60174 64198 81172 58180 74161 50173 54A. Calculate the correlation coefficient for height and weight forthis group.B. Is the correlation coefficient statistically significant? Explain.
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.
Here are data for height and weight among 10 male college students.
Height (cm) Weight (kg)
159 48
162 50
161 52
175 60
174 64
198 81
172 58
180 74
161 50
173 54
A. Calculate the
this group.
B. Is the correlation coefficient statistically significant? Explain.
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