The scatter plot below shows the average number of customers who visit a food truck per day, depending on the number of days the food truck stays in the same location. FOOD TRUCK CUSTOMERS 60 55 50 25 20: 15 10 5 o 2 4 6 8 10 12 14 16 18 20 Number of Days in Same Location Which statement best describes the association between the number of days the food truck is in the same location and the number of customers who visit the food truck per day? A There is no association. B There is a nonlinear association. There is a positive linear association. There is a negative linear association. Number of Customers
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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