The data show systolic and diastolic blood pressure of certain people. Find the regression equation, letting the systolic reading be the independent (x) variable. Find the best predicted diastolic pressure for a person with a systolic reading of 150150. Is the predicted value close to 93.793.7, which was the actual diastolic reading? Use a significance level of 0.05. Systolic 139139 118118 145145 133133 141141 138138 139139 136136 Diastolic 101101 6161 8282 7474 104104 7979 7474 7474 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? ModifyingAbove y with caretyequals=nothingplus+nothingx (Round 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.
|
Systolic
|
139139
|
118118
|
145145
|
133133
|
141141
|
138138
|
139139
|
136136
|
|
|---|---|---|---|---|---|---|---|---|---|
|
Diastolic
|
101101
|
6161
|
8282
|
7474
|
104104
|
7979
|
7474
|
7474
|
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