Nielsen tracks the amount of time that people spend consuming media content across different platforms (digital, audio, television) in the United States. Nielsen has found that traditional television viewing habits vary based on the age of the consumer as an increasing number of people consume media through streaming devices.† The following data represent the weekly traditional TV viewing hours in 2016 for a sample of 14 people aged 18–34 and 12 people aged 35–49. (Round your answers to two decimal places.) Viewers aged 18–34 24.2 21.0 17.8 19.6 23.4 19.1 14.6 27.1 19.2 18.3 22.9 23.4 17.3 20.5 Viewers aged 35–49 24.9 34.9 35.8 31.9 35.4 29.9 30.9 36.7 36.2 33.8 29.5 30.8 (a) Compute the mean and median weekly hours of traditional TV viewed by those aged 18–34.
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.
Nielsen tracks the amount of time that people spend consuming media content across different platforms (digital, audio, television) in the United States. Nielsen has found that traditional television viewing habits vary based on the age of the consumer as an increasing number of people consume media through streaming devices.† The following data represent the weekly traditional TV viewing hours in 2016 for a sample of 14 people aged 18–34 and 12 people aged 35–49. (Round your answers to two decimal places.)
| Viewers aged 18–34 | 24.2 | 21.0 | 17.8 | 19.6 | 23.4 | 19.1 | 14.6 | 27.1 | 19.2 | 18.3 |
|---|---|---|---|---|---|---|---|---|---|---|
| 22.9 | 23.4 | 17.3 | 20.5 | |||||||
| Viewers aged 35–49 | 24.9 | 34.9 | 35.8 | 31.9 | 35.4 | 29.9 | 30.9 | 36.7 | 36.2 | 33.8 |
| 29.5 | 30.8 |
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