Crickets chirp faster when it gets warmer. The number of chirps per minute by crickets (x) is given along with the surrounding temperature (y): # chirps/min 20.0 16.0 19.8 18.4 17.1 Temperature 88.6 71.6 93.3 84.3 80.6 (Farheinheit) a. Find the correlation coefficient, r. Would you say there is a significant linear correlation? Why or why not? b. Give the linear regression equation. c. Use your equation to predict the temperature when a cricket chirps 19 times per minute.
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.
Crickets chirp faster when it gets warmer. The number of chirps per minute by crickets (x) is given along with the surrounding temperature (y):
# chirps/min 20.0 16.0 19.8 18.4 17.1
Temperature 88.6 71.6 93.3 84.3 80.6
(Farheinheit)
a. Find the
b. Give the linear regression equation.
c. Use your equation to predict the temperature when a cricket chirps 19 times per minute.
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