NBA players - Michael wants to investigate whether the distribution of his classmates' favorite NBA players of all time is different from the one reported by NBA. He randomly surveys his classmates. The table below contains the percentages reported by NBA and the observed counts from his random sample. Player Steph Curry 15% Michael Jordan Others LeBron James Kobe Bryant 30% NBA 20% 19% 16% Percentages Observed Counts 23 28 10 15 11 Michael conducts the appropriate hypothesis test. If, in fact, the percentages are as reported by NBA, then what is the p-value for this hypothesis test? Give your answer to 4 decimal places.
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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