The regression equation is y=_____+_____x. (Round to one decimal place as needed.) 2.Given that the systolic blood pressure in the right arm is 95mm Hg, the best predicted systolic blood pressure in the left arm is _____mm Hg. (Round to one decimal place 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.
![Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting
the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left am given that the
systolic blood pressure in the right arm is 95 mm Hg. Use a significance level of 0.05.
Right Arm
100
99
92
76
75 O
Left Arm
177
171
147
145
147
E Click the icon to view the critical values of the Pearson correlation coefficient r
The regression equation is y =D+Dx.
(Round to one decimal place as needed.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F050e2a53-9d2f-4d0a-a369-c1a2be084a79%2Fb45f42ea-a972-400e-bba3-6b69b41ca00b%2Ft3psnw9_processed.png&w=3840&q=75)
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