In: Statistics and Probability
Referring to the table, suppose the researcher wants to obtain a 95% confidence interval estimate for the mean number of physical therapy programs received by patients who had exactly two muscle injuries. The confidence interval estimate is:
A researcher would like to analyze the effect of muscle injury on the number of physical therapy intervention programs received. She takes a random sample of 4 patients. For these 4 patients, she finds out how many times each had a muscle injury and how many physical therapy intervention programs they received. These data are presented in the table below:
Patient Number of Muscle Injuries Number of Physical Therapy
Programs Received
1 1 4
2 2 6
3 1 3
4 0 1
The results of the simple linear regression are provided below.
Y= 1+2.5X; = 0.5, = 0.35355; 2-tailed p value = 0.0192 (testing B1)
(4.7356, 7.2644) |
||
(7.2356, 9.7644) |
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(4.1369, 7.8631) |
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(6.6369, 10.3631) |
Answer: (4.1369, 7.8631)
Using excel<data<data analysis<regression
Regression Analysis | ||||||
r² | 0.962 | |||||
r | 0.981 | |||||
Std. Error | 0.500 | |||||
n | 4 | |||||
k | 1 | |||||
Dep. Var. | Physical Therapy | |||||
ANOVA table | ||||||
Source | SS | df | MS | F | p-value | |
Regression | 12.5000 | 1 | 12.5000 | 50.00 | .0194 | |
Residual | 0.5000 | 2 | 0.2500 | |||
Total | 13.0000 | 3 | ||||
Regression output | confidence interval | |||||
variables | coefficients | std. error | t (df=2) | p-value | 95% lower | 95% upper |
Intercept | 1.0000 | 0.43 | 2.31 | 0.15 | -0.86 | 2.86 |
Muscle Injury | 2.5000 | 0.3536 | 7.071 | .0194 | 0.9788 | 4.0212 |
Predicted values for: Physical Therapy | ||||||
95% Confidence Interval | 95% Prediction Interval | |||||
Muscle Injury | Predicted | lower | upper | lower | upper | Leverage |
2 | 6.000 | 4.1369 | 7.8631 | 3.1541 | 8.8459 | 0.7500 |