In 2010, the actual winning time for the gold medal was 34.91 seconds. Use the regression equation to predict the winning time (in seconds) for 2010. sec Compare the prediction to what actually happened. The actual 2010 winning time of 34.91 seconds is seconds slower than the prediction. (c) Explain what the slope of −0.1184 indicates in terms of how winning times change from one set of Olympic games to the next. Olympic games occur every 4 years. Winning times decrease, on average, by seconds from one set of Olympic games to the next. (d) Why should we not use this regression equation to predict the winning time for the men's 500-meter speed skating race in the 2080 Winter Olympics?

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A:

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A:

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A:

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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.