Is the data point, P, an outlier, an influential point, both, or neither? The regression equation for a set of paired data is y F6+4x. The correlation coefficient for the data is 0.92. A new data point, P(13, 74), is added to the set. O Outlier ONeither Both O Influential point

Q: Discuss FIVE (5) issues in data management. (c) Differentiate between the outliers, extreme values…

A:

Q: Can the age data (in years) of the students in this class be presented using the Box-Plot tool?…

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Q: The top schools HCC students transfer to are below from highest to lowest.  This type of data is…

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A: Here Given Data set 7,6,5,6,11

Q: The "fishing" approach to data analysis refers to what?

A: " fishing" is a data mining  practice in which large volumes of data are analyzed seeking any…

Q: The World Bank collected data on the percentage of GDP that a country spends on health expenditures…

A:

Q: Under what conditions would it be better to use the median instead of the mean?

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Q: When would you use the median rather than the mean as a measure of central tendency? Why?

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Q: What is the proxy or measurement of the variables for tertiary education

A: Solution

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A: Terms with example Variability Association Relative standing

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A: To Discuss: Discuss the significance of an influential point in a scatter plot.

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Q: the mean of a collection of data is located at the.          of a distribution of data

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A:

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A: As the box plot has been created.

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Q: (part 2) Give an example of a set of data for which the mean is lower than the median.

A:

Q: Give three real-world examples of an theoretical distribution of data.

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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.