Question

In: Statistics and Probability

Scenario and Data: The relationship between quality of health care and government subsidy for health care...

Scenario and Data:

The relationship between quality of health care and government subsidy for health care was studied. Ten people representing different countries were selected and surveyed regarding their opinion of their countries health care. Higher opinion values indicate a more favorable view of their countries health care. Percentage of government subsidy was also determined – countries with socialized medicine score 100%, while countries with no government subsidized health care score 0%. The purpose of this study was to determine the amount of government subsidy of health care relates to quality of the care.

Subject                        Opinion                       Percent Government Subsidy

1                                  25                                63

2                                  35                                78

3                                  47                                100

4                                  12                                45

5                                  18                                47

6                                  29                                62

7                                  38                                54

8                                  53                                71

9                                  14                                10

10                                39                                38

2. Calculate Pearson’s r and report it in APA style. If the correlation is significant, then calculate R-squared and the regression equation. You may copy and paste from JASP).

3. Write an APA style report of your findings, and conclusions. Make sure to use the data to support conclusions.

Solutions

Expert Solution

2) Pearson's r = 0.6625

regression equation =

3) with every unit rise in the Opinion, Percent Government Subsidy increase by a factor of 1.1678.

with this model only 43.89% of the variation in Y can be explained by X


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