3 4 6. y 900 1296 1810 2661 3676 5740 Use linear regression to find the equation for the linear function that best fits this data. Round to two decimal places. y =
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.
![The image displays a table and instructions on linear regression.
**Table:**
The table consists of two rows, representing variables \(x\) and \(y\):
- \(x\): 1, 2, 3, 4, 5, 6
- \(y\): 900, 1296, 1810, 2661, 3676, 5740
**Instructions:**
- "Use linear regression to find the equation for the linear function that best fits this data. Round to two decimal places."
**Equation:**
- A space is provided to input the equation: \( y = \) ___
No graphs or diagrams accompany the text. The task is to apply linear regression analysis to the given data points and determine the best-fit linear equation.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F05d3adb9-7fe4-4d5a-99c8-26255e44b92b%2F772b8125-25a5-40a4-92a7-5cd38b3c39d5%2F5hgf3g2_processed.jpeg&w=3840&q=75)
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