Different patients are randomly selected and measured for pulse rate and body temperature. Using technology with x representing the pulse rates and y representing temperatures, we find that the regression equation has a slope of -0.019 and a y-intercept of 99.6. a. What is the equation of the regression line? b. What does the symbol y represent?
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.
![Different patients are randomly selected and measured for pulse rate and body temperature. Using technology with x representing the pulse rates and y representing temperatures, we find that the regression equation
has a slope of-0.019 and a y-intercept of 99.6.
a. What is the equation of the regression line?
b. What does the symbol y represent?
a. Choose the correct answer below and fill in the answer boxes to complete your choice.
(Type integers or decimals. Do not round.)
O A. The equation is x =
O B. The equation is In y = x.
O C. The equation is In x =
O D. The equation is y =
X.
b. The symbol y represents
value of
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