15.9 13.4 22.1 12.7 13.1 19.6 11.7 13.5 17.7 18.1

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Q: 1 Dataset 20 3 6 4 15 22 13 7 9 2 9 20 10 10

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Q: 12 13 14 15 16 data 17 18 19 Based on the boxplot above, identify the 5 number summary

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Q: 2: The median age of the children is: 29 30.5 28.5 28

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Q: ow Income High Income 29 16 20 22 18 14 22 19 19 28 26 19 15 16 14 19 21 12

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Q: 17 18 19 14 15 16 data 10 11 12 13 20 Based on the boxplot above, identify the 5 number summary

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Q: 12 13 14 15 16 17 18 19 data 7. 6. 10 11 Based on the boxplot above, identify the 5 number summary…

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Q: 8 9 10 11 12 13 14 15 16 17 18 19 20 data Based on the boxplot above, identify the 5 number summary

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Q: Evaluate the following e 10 + 5 3 – 1 =

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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.