QUESTION 6 Assume there are two dimensions of citizens' news use for the 4th industrial revolution: attention and exposure. Each dimension is measured by a composite measure of three items of paying attention and exposure to newspaper, TV, and mobile news. The following is a hypothetical matrix of correlation coefficients between items. (Suppose the correlations in the matrix equal to or larger than 10 are statistically significant.) News Use for the 4th Industrial Revolution Attention to Exposure to Newspaper Tv Mobile Newspaper TV Mobile ATT to NP TV 59 Mobile 63 13 Exp to NP 73 51 44 TV 21 45 22 08 Mobile 45 .03 56 34 07 Avg. Internal Avg. External In this correlation matrix, please calculate the internal and external correlations of each item and answer the following questions. When you calculate internal and external correlations, please round off to the nearest two decimal points, e.g., if your calculation is 0.756, then your answer should be 0.76. About type of RELIABILTY can the correlation matrix above provide information regarding those items? O 1.equivalence O 2. association 3. homogeneity O 4. stability

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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.