The blood pressure measurements of a single patient were taken by twelve different medical students and the results are listed below. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between systolic measurements and diastolic measurements? systolic (x) diastolic (y) 137 133 139 119 122 121 127 132 130 143 141 137 95 93 100 80 88 80 82 84 81 98 103 94 OC. Hoip#0 O D. Ho:p=0 H1:p=0 H1:p#0 Construct a scatterplot. Choose the correct graph below. O A. OB. OC. O D. Ay 160- Ay 160- AY 160- Ay 160- 120- 120- 120- 120- 80- 80- 80- 80- 40- to 40- 40- 40- 0- 40 80 120 160 0- 40 80 120 160 40 80 120 160 40 80 120 160 The linear correlation coefficient r is. (Round to three decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value is V than the significance level 0.05, there V sufficient evidence to support the claim that there is a linear correlation between systolic measurements and diastolic measurements for a significance level of a = 0.05.
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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