DATA-DRIVEN DECISION MAKING C207

PRFA QUM2 TASK 1

TOPIC D2

D2. Interpret the results of the data analysis by doing the following:

a. Discuss the goodness of fit with the supporting test statistic from your linear regression analysis output.

b. Discuss the significance of the independent variable(s) with support from your linear regression analysis results.

c. Create the linear equation and explain its purpose using your analysis results.

AutoSave O OFF A A ~ G G ... 3 PDF task 1 2nd attempt 2 - Saved to my Mac Home Insert Draw Design Layout References Mailings Review View Tell me Comments Editing Share Times New... ~ 12 A" A Aa Ap EEVEEVEE AaBbCcDdEe AaBbCcDdEe AaBbCcDc AaBbCcDdEE AaBbCcDd AaBbCcDdEe Paste BI Uvab X x A LA. Normal No Spacing Heading 1 Heading 2 Heading 3 Heading 4 Styles Dictate Editor Pane D2. a. When regression is employed R squared is used to show the amount of variance in the dependent variable that is related to the independent variable when evaluating how well the line of best fit matches the provided data. The fit becomes better as it gets closer to 1. R squared is equivalent to 0, 7042 in this investigation. D2b. The p value will indicate whether there is a statistically significant relationship between the independent and dependent variables. This figure is determined by the power and the study's confidence interval, which is normally 95%. As a result, statistical significance is often indicated by a p value less than 0.05. The completed linear regression produced the following p values for the intercept and program participation rate, respectively: 5.89062E-19 and 1.62589E-10. As both p values are less than 0.05, statistical significance is evident. D2c. The equation y=mix.th serves as the symbol for the line of best fit in a linear regression. This is the ideal line to link the scatter plot data points that are most closely spaced apart. The closer the data points are to the line, the stronger the correlation. The slope of the line (m), which designates where it crosses an axis, can be used to compute the average rate of change. The equation for the line of best fit in our investigation is y=- 0.0891x + 5.2406. The attrition rate and the results of participation in a wellness program are not positively correlated, as indicated by the slope's negative direction. Reduced nursing staff turnover rates are correlated with more nurses participating in wellness initiatives. D3. The business might have done a lot more to reduce the attrition rate of nurses in addition to Page 4 of 6 824 words English (United States) Focus E + 85%