2. Given the following information Σ 24, Συ-16, Σ180, Σ,-90, Σευ- 5 , n= 10
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.
1.The least squares estimate of β0 is
i. 2.3176
ii. 0.7176
iii. 0.8824
iv. 1.8990
2. The least squares estimate of β1 is
i. 0.4773
ii. 0.2990
iii. 0.2061
iv. 0.9265
3. The
i. 0.4122
ii. 0.1700
iii. 0.2990
iv. 0.5683
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