26. The table below shows the batting records of two baseball players (1st half and 2nd half of a season). First Half Second Half Player Hits At-bats | Batting average Player Hits At-bats Batting average Josh 50 150 .333 Josh 35 70 .500 Jude 10 50 .200 Jude 70 150 .467 a) i) Which player had the higher batting average in the first half of the season? ii) Which player had the higher batting average in the second half of the season? b) i) Compute Josh's overall batting average for the entire season. ii) Compute Jude's overall batting average for the entire season. iii) Which player had the higher overall batting average for the season? c) Explain how these results from part a) and part b) above illustrate Simpson’s paradox.
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.
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