For the data shown to the right, determine the linear correlation coefficient using the formulas shown below. Compare your answers in part (a) and (b). x3|6|1|0 |0 y 6 7 0 0- 4 a. Use the definition r= Exw-(Ex)(E»)/n E - (Ex)*rn] [Ev? - (E»)* /n] b. Use the computing formular= a. Using the definition, r= (Round to three decimal places as needed.) b. Using the computing formula, r= (Round to three decimal places as needed.) The value in part (a) is V the value in part (b).
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.
![For the data shown to the right, determine the linear correlation coefficient using the formulas shown below. Compare your answers in part (a) and (b).
x | 3 |6|1|0 |0
y 6 700- 4
a. Use the definition r=
Exy - (Ex) (E») n
E - (Ex)°/n] [Ev - (E»)*/n]
b. Use the computing formula r=
a. Using the definition, r=
(Round to three decimal places as needed.)
b. Using the computing formula, r=
(Round to three decimal places as needed.)
The value in part (a) is
V the value in part (b).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8b515b94-e416-4e35-bf5c-e79b2da844c6%2Fb820e611-a43b-4149-97ef-a8ea90f690d0%2Fp14yl75_processed.jpeg&w=3840&q=75)
Use the given data to form excel table:
| X | Y | X*Y | X*X | Y*Y | ||||
| 3 | 6 | 18 | 9 | 36 | 1 | 4.2 | 4.2 | |
| 6 | 7 | 42 | 36 | 49 | 4 | 5.2 | 20.8 | |
| 1 | 0 | 0 | 1 | 0 | -1 | -1.8 | 1.8 | |
| 0 | 0 | 0 | 0 | 0 | -2 | -1.8 | 3.6 | |
| 0 | -4 | 0 | 0 | 16 | -2 | -5.8 | 11.6 | |
| Sum | 10 | 9 | 60 | 46 | 101 | 0 | 0 | 42 |
| Average | 2 | 1.8 | ||||||
| S.D | 2.549509757 | 4.604345773 |
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