A 10-vear study conducted by the American Heart Association provided data on how age, blood pressure, and smoking relate to the risk of strokes. Data from a portion of this study follow. Risk is interpreted as the probability (times 100) that a person will have a stroke over the next 10-year period. For the smoker variabi indicates a smoker and O indicates a nonsmoker. Risk Age Blood Pressure Smoker 12 57 152 24 67 163 13 58 155 56 86 177 28 59 196 51 76 189 18 56 155 31 78 120 37 80 135 15 78 98 22 71 152 36 70 173 15 67 135 48 77 209 1 15 60 199 36 82 119 66 166 34 80 125 3 62 117 37 59 207 Using age, blood pressure, and whether a person is a smoker, develop an estimated regression equation that can be used to predict risk. Use x, for age, x, for blood pressure, and x, for whether a person is a smoker. (Round your constant term to one decimal place and coefficients to three decimal places.)
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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The multiple regression model is significant to what level?