Two variable are found to have a strong positive linear correlation. Pick the correct statement. O An increase in one variable potentially causes an increase in the other. An increase in one variable does not cause a decrease in the other. An increase in one variable causes a decrease in the other. O An increase in one variable potentially causes a decrease in the other. An increase in one variable does not cause an increase in the other. An increase in one variable causes an increase in the other.
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.
![**Objective: Interpreting Correlation**
**Instruction:** Two variables are found to have a strong positive linear correlation. Pick the correct statement.
- ○ An increase in one variable potentially causes an increase in the other.
- ○ An increase in one variable does not cause a decrease in the other.
- ○ An increase in one variable causes a decrease in the other.
- ○ An increase in one variable potentially causes a decrease in the other.
- ○ An increase in one variable does not cause an increase in the other.
- ○ An increase in one variable causes an increase in the other.
**[Submit Question]**
*Note:* The task involves selecting the correct statement based on the given scenario about the correlation between two variables. A strong positive linear correlation implies that as one variable increases, the other variable tends to also increase.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F938610b7-ae22-4121-80e0-e09aca732ea7%2F378214dc-c40f-4ed7-9728-ab528cde2fbb%2Fnibwx8d_processed.png&w=3840&q=75)
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