50 women is obtained, and their heights (in inches) and pulse rates (in beats per minute) are measured. The linear correlation coefficient is 0.245 and the equation of the regression line is y 17.6+0.910x, where x represents height. A sample The mean of the 50 heights is 62.9 in and the mean of the 50 pulse rates is 72.3 beats per minute. Find the best predicted pulse rate of a woman who is 67 in tall. Use a significance level of 0.05 Click the icon to view the critical values of the Pearson correlation coefficient r The best predicted pulse rate of a woman who is 67 in tall is beats per minute. (Type an integer or decimal rounded to two decimal places as needed.)
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 sample of 50 women is obtained, and their heights (in inches) and pulse rates (in beats per minute) are measured. The linear
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