The following data represent the calories and sugar, in grams, of various breakfast cereals. Product Calories Sugar 270 8.0 310 6.2 330 22.7 440 27.1 480 18.3 530 25.9 550 21.7 Use the data above to complete parts (a) through (d). ABCDEEC
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. Compute the
B. Compute the coefficient of
C. Which do you think is more valuable in expressing the relationship between calories and sugar -the covariance or the coefficient of correlation? Explain.
D. What conclusions can you reach about the relationship between calories and sugar.
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