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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.
A high school basketball coach wants to see whether there is a linear relationship between player height, x, and the number of points scored in a game by basketball players in the coach’s state, y. The 96 percent confidence
Assume all conditions for inference for the slope of a regression line were met. Based on the confidence interval, which of the following claims is supported by the confidence interval?
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A)Each player scored at most 1.844 points in a game.
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B)The average difference between actual points scored and predicted points scored is between −0.432 and 1.844.
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C)There is a positive linear relationship between player height and number of points scored for basketball players in the coach’s state.
D)There is a negative linear relationship between player height and number of points scored for basketball players in the coach’s state. -
E)It cannot be determined whether the linear relationship between player height and number of points scored for basketball players in the coach’s state is positive or negative.
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