Suppose that a random sample of 212 twenty-year-old men is selected from a population and that their heights and weights are recorded. A regression of weight on height yields Weight = (-105.3746) +4.1764 x Height, R = 0.859, SER = 10 8120 (2.2790 ) (0.3286) where Weight is measured in pounds and Height is measured in inches. A man has a late growth spurt and grows 1.5900 inches over the course of a year. Construct a confidence interval of 80% for the person's weight gain. The 80% confidence interval for the person's weight gain is ( ) (in pounds) (Round your responses to two 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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