The relationship between hospital patient-to-nurse ratio and various characteristics of job satisfaction and patient care has been the focus of a number of research studies. Suppose x = patient-to-nurse ratio is the independent variable. For each of the following potential dependent variables, indicate whether you expect the slope of the least-squares line to be positive or negative and give a brief explanation for your choice. (a) y = a measure of nurse's job satisfaction (higher values indicate higher satisfaction) We expect the slope to be positive. With more patients to nurses, the nurses will have more stress and less job satisfaction. We expect the slope to be negative. With more patients to nurses, the nurses will have less stress and more job satisfaction. We expect the slope to be positive. With more patients to nurses, the nurses will have less stress and more job satisfaction. We expect the slope to be negative. With more patients to nurses, the nurses will have more stress and less job satisfaction. (b) y = a measure of patient satisfaction with hospital care (higher values indicate higher satisfaction) We expect the slope to be negative. With more patients to nurses, the nurses will have more time with patients and the patients will have more satisfaction with their care. We expect the slope to be positive. With more patients to nurses, the nurses will have less time with patients and the patients will have less satisfaction with their care. We expect the slope to be positive. With more patients to nurses, the nurses will have more time with patients and the patients will have more satisfaction with their care. We expect the slope to be negative. With more patients to nurses, the nurses will have less time with patients and the patients will have less satisfaction with their care. (c) y = a measure of patient quality of care We expect the slope to be positive. With more patients to nurses, the nurses will have more time with patients and the quality of care will increase. We expect the slope to be positive. With more patients to nurses, the nurses will have less time with patients and the quality of care will decrease. We expect the slope to be negative. With more patients to nurses, the nurses will have more time with patients and the quality of care will increase. We expect the slope to be negative. With more patients to nurses, the nurses will have less time with patients and the quality of care will decrease.
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.
The relationship between hospital patient-to-nurse ratio and various characteristics of job satisfaction and patient care has been the focus of a number of research studies. Suppose x = patient-to-nurse ratio is the independent variable. For each of the following potential dependent variables, indicate whether you expect the slope of the least-squares line to be positive or negative and give a brief explanation for your choice.
(a)
y = a measure of nurse's job satisfaction (higher values indicate higher satisfaction)
We expect the slope to be positive. With more patients to nurses, the nurses will have more stress and less job satisfaction.
We expect the slope to be negative. With more patients to nurses, the nurses will have less stress and more job satisfaction.
We expect the slope to be positive. With more patients to nurses, the nurses will have less stress and more job satisfaction.
We expect the slope to be negative. With more patients to nurses, the nurses will have more stress and less job satisfaction.
(b)
y = a measure of patient satisfaction with hospital care (higher values indicate higher satisfaction)
We expect the slope to be negative. With more patients to nurses, the nurses will have more time with patients and the patients will have more satisfaction with their care.
We expect the slope to be positive. With more patients to nurses, the nurses will have less time with patients and the patients will have less satisfaction with their care.
We expect the slope to be positive. With more patients to nurses, the nurses will have more time with patients and the patients will have more satisfaction with their care.
We expect the slope to be negative. With more patients to nurses, the nurses will have less time with patients and the patients will have less satisfaction with their care.
(c)
y = a measure of patient quality of care
We expect the slope to be positive. With more patients to nurses, the nurses will have more time with patients and the quality of care will increase.
We expect the slope to be positive. With more patients to nurses, the nurses will have less time with patients and the quality of care will decrease.
We expect the slope to be negative. With more patients to nurses, the nurses will have more time with patients and the quality of care will increase.
We expect the slope to be negative. With more patients to nurses, the nurses will have less time with patients and the quality of care will decrease.
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