Source DF SS MS F Regression 225.5 Error 8.51 Total Can you fill in the rest of the table? And determine the results of the analysis by conducting the appropriate hypothesis test at 5% significance level.
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.
We wish to determine whether there is a linear relationship between the weight in pounds of white leghorns (a type of chicken) and their 350 day food consumption. We choose ten birds and calculate their food consumption. Our simple linear regression analysis yields a source table, but much of it is missing. What remains is:
|
Source |
DF |
SS |
MS |
F |
|
Regression |
|
225.5 |
|
|
|
Error |
|
|
8.51 |
|
|
Total |
|
|
|
Can you fill in the rest of the table? And determine the results of the analysis by conducting the appropriate hypothesis test at 5% significance level.
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