Applying the four stages of frame work into healthcare. Where does theory come from? Pick a theorist and explore how the theorist created his or her theory and apply the four stages of (theorizing, syntax, theory testing, and evaluation).
Stage 1 Theorizing consist of three concepts identifying what nursing is and what nursing is not.
Stage 2 Syntax must contain at least two terms clearly defining what this stage consist of
Stage 3 theory testing you must describe and provide two examples of how theory was applied to quantitative/ qualitative research consisting of different population and widening group of researchers outside the discipline of nursing.
Stage 4 provide at least five examples of how theory is applied through evidence base practice in the act of providing nursing care.
Lastly, present a broad look at the four stages you went through to develop your theory and project its future use in the nursing profession , be sure to make a succinct and precise conclusion.
APA format 6th edition 3 to 5 pages, a minimum of 5 references.
) For each predictor, fit a simple linear regression model to predict the response. Complete regression analysis. Describe your results. In which of the models is there a statistically significant association between the predictor and the response? Create plots to back up your assertions.
c) Fit a multiple regression model to predict the response using all the predictors. Describe your results. For which predictors can we reject the null hypothesis ₀ := 0? 
d.) How do your results from (b) compare to your results from (c)? Create a plot displaying the univariate regression coefficients from (b) on the x-axis, and the multiple regression coefficients from (c) on the y-axis. That is each predictor is displayed as a single point in the plot. Its coefficient in a simple linear regression model is shown on the x-axis, and its coefficient estimate in the multiple linear regression model is shown on the y-axis. 
e.) Is there evidence of non-linear association between any of the predictors and the response? To answer this question, for each predictor X, fit a model of the form
= 0+ 1 + 2 ²+ 3 ³+ Ԑ
Summarise your findings.
Part a) may be completed using any choice of statistical package. Parts b) through e) should be completed using R. A report should be submitted together with supporting software analyses / R-code via online submission on or before Sunday 17th December 23:55. The grade assessment will be based on the DBS CA grading scheme which has been included in this document