For the data below, x represents the temperature in degrees Fahrenheit during a half marathon and y represents your time in hours for the half marathon: x =72 84 59 64 75 y = 3.2 3.0 3.4 3.7 4.1 a.Calculate the value of the correlation coefficient r. b.Using the chart for critical values of r (table A-6), find the critical value associated with α = 0.05. c.Does the value of r imply linear correlation? d.Should we find the regressionequation for the time of a half marathon based on temperature?
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.
For the data below, x represents the temperature in degrees Fahrenheit during a half marathon and y represents your time in hours for the half marathon:
x =72 84 59 64 75
y = 3.2 3.0 3.4 3.7 4.1
a.Calculate the value of the
b.Using the chart for critical values of r (table A-6), find the critical value associated with α = 0.05.
c.Does the value of r imply
d.Should we find the regressionequation for the time of a half marathon based on temperature?
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