The data show the time intervals after an eruption (to the next eruptuon) of a certain geyser. A) find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted time of the interval after an eruption given that the current eruption has a height of 143 feet. B) Is there outliers C) use a 0.05 significance level to determine how strong is the correlation. Height (ft) 115. 133. 137. 140. 99. 112. 108. 126 Interval after (min) 75 85 94 85 66 88. 68. 82
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.
The data show the time intervals after an eruption (to the next eruptuon) of a certain geyser.
A) find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted time of the interval after an eruption given that the current eruption has a height of 143 feet.
B) Is there outliers
C) use a 0.05 significance level to determine how strong is the
Height (ft) 115. 133. 137. 140. 99. 112. 108. 126
Interval after (min) 75 85 94 85 66 88. 68. 82
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