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# Measures and Scale - Statistics Project Example

Summary
Values of the correlation coefficient are range between -1 and +1. When the correlation coefficient is +1, this means that two variables are perfectly related in a positive…

## Extract of sample"Measures and Scale"

Download file to see previous pages Various tests have been employed to determine if the regression model is satisfactory. The model is said to be satisfactory, if the estimated regression equation can predict the value of the dependent variable given values for the independent variables. The relationship between these two measures is that they analyze the extent to which variables are related. However, these two do not assess cause and effect.
Stress is part of normal life though too much stress can cause emotional, psychological and physical problems such as heart disease, irregular heart, chest pains and high blood pressure (Quinn & Keough, 2002). Our main concern is to study the relationship between stress and high blood pressure. We want to ascertain whether medical researchers are right with regard to stress causing high blood pressure. Let us determine the relationship of these two by using a sample of 20 patients who had their stress test score and blood readings taken. Regression and correlation is used in ascertaining the relationship as shown below:
From the above workings in the table, the correlation coefficient is one. Therefore, the relationship between stress and blood pressure is a linear one. This simply means that when stress levels increase, the blood pressure also increases. The regression model is determined is fit as we were able to predict the values of blood pressure at given levels of stress.
The correlation is +1, therefore a relationship which is linear exists between BMI and birth weight. Using regression analysis, it will be not possible to predict the birth weight given the BMI because the model is ŷ = ...Download file to see next pagesRead More
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