Parameter Estimates Term Estimate Std Error t Ratio Prob>|t| Intercept 1.4358731 0.084055 17.08 <.0001* Prey Length -0.051456 0.014709 Prey Speed 0.0040046 0.000628 -3.50 0.0030* 6.38 <.0001*
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.
A group of Ecologist are examining the effect speed of prey (twips per second) and length of prey (twips X 100) have on the time (in seconds) required to catch the prey.
a.) What is the least squares regression line?
b.) Predict the catch time for an animal of prey whose length is 6 and whose speed is 50.
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