Use the scatterplot of Vehicle Registrations below to answer the questions Vehicle Registrations in the United States, 1925- 2011 Vehicles millions 300 y = 3.0161x - 5819.5 R? = 0.9695 250 200 150 100 50 2000 1920 -50 1940 1960 1980 2020 Year Is there a strong, moderate or no linear correlation between the dependent and independent variable? [ Select ] Registrations (in millions)
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.
![Use the scatterplot of Vehicle Registrations below to answer the questions
Vehicle Registrations in the United States, 1925-
2011 Vehicles millions
300
y = 3.0161x - 5819.5
R? = 0.9695
250
200
150
100
50
2000
1920
-50
1940
1960
1980
2020
Year
Is there a strong, moderate or no linear correlation between the dependent and independent variable? [ Select ]
Registrations (in millions)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F212b616b-3d28-4739-9465-bed1528b74a4%2F3eb0f2e1-d432-4406-afe0-55812a9f727a%2F8o7jadq.png&w=3840&q=75)
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