The average number of people in a family attending college for various years is given in the table below: Year 1969 1973 1975 1979 1983 1988 1991 # Attending College 4.0 3.6 3.2 3.0 3.0 3.0 2.9 Find the p-value associated with testing the significance of the correlation coefficient. Give the answer accurate to 4 decimal places.
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 average number of people in a family attending college for various years is given in the table below:
| Year | 1969 | 1973 | 1975 | 1979 | 1983 | 1988 | 1991 |
| # Attending College | 4.0 | 3.6 | 3.2 | 3.0 | 3.0 | 3.0 | 2.9 |
Find the p-value associated with testing the significance of the
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what is the variance of the mean squared errors for this data set
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