A statistics teacher wants to determine whether there is a linear relationship between high school students' heights, in inches (in), and the lengths of their feet, in centimeters (cm). The teacher obtains height and foot-length measurements for a random sample of 23 students at the high school and generates the following graph and computer output. 35 30 25 20 60 62 64 66 68 70 72 74 76 Height (in) Estimate Std Error Ratio Prob> Term Intercept -13.867 9.410 -1474 0.1554 Height 0.583 0.138 4.208 0.0004 Provided that the assumptions for regression inference are satisfied, which of the following provides a 95% confidence interval estimate of the slope of the population regression line for predicting foot length from height ? Foot Length (cm
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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