Tammy kept track of the shoe size of expectant mothers and the weights of their newborns. She recorded her data in the following scatterplot. 10 Baby Weight vs. Shoe Size y 13 12 11 10 5 6 7 89 10 11 12 13 Mother's Shoe Size Which statement best describes the relationship shown in the scatterplot? F There is no relationship between a mother's shoe size and the weight of her newborn. O G The weights of newborns were constant, but the shoe sizes of the mothers varied. OH The greater the shoe size of the mother, the lesser the weight of her newborn. The greater the shoe size of the mother, the greater the weight of her newborn. Baby's Weight (Ib)
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.
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