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Select the correct actions for each of the following parts of trapezius.

Select the six main components of the community reinforcement approach (CRA) described by Apel and Diller (2017). 

 What is an exception? 

 What types of branches can benefit from correlated branch predictors?

Question 2: Statistical Significance – 4 points a. Using the unstandardized data (trainData), build a new model using only the variables whose coefficients were found to be statistically significant at the 95% confidence level. Call it model2. Display the model summary. Using model2, interpret the coefficient of bp in the context of the data description. State any assumptions while interpreting the coefficient. (2 points) b. Perform a Partial F-test to compare the reduced model(model2) with the full model (model1) and interpret it at the 95% confidence level. Which one would you prefer? Is it good practice to select variables based on the statistical significance of individual coefficients? Why or why not? (2 points)

Question 6: Prediction – 9 points For this question, use the testData. a. Using testData and with the previously built models (listed below), predict the Target variable. For each model, calculate the average of the predicted responses. i) Full linear regression model from question 1a (model1) (0.75 point) ii) Reduced model from question 2b (model2) (0.75 point) iii) Stepwise forward-backward model from question 3b (both_model) (0.75 point) iv) Elastic Net model from question 5d (enet.model) (0.75 point) Compare the results. (1 point) b. Using the first row of testData, calculate the 99% prediction interval using model2 (reduced model). (1 point) c. (Note: No code is required to answer Q6c) Discuss the trade-offs and considerations involved in selecting the best predictive model for diabetes disease progression from the following approaches: forward stepwise regression, best subset selection using Mallow’s Cp, ridge regression, and elastic net regression. In your discussion, address the following points: (4 points) Model Complexity vs. Interpretability: How does each method balance model complexity and interpretability? Which methods tend to produce more interpretable models, and which ones might lead to more complex models? Handling Multicollinearity: Explain how each method deals with multicollinearity among predictors. Which methods are more effective in reducing the impact of multicollinearity, and why? Bias-Variance Trade-Off: Compare the expected bias-variance trade-off for each method. Which methods are likely to provide the best balance between bias and variance, and what are the potential drawbacks of these methods? Practical Considerations: Discuss any practical considerations, such as computational efficiency, ease of implementation, and the availability of software tools, that might influence the choice of method in a real-world scenario.

The ‘Universal Declaration of Human Rights was adopted by the general assembly of the United Nations in 

Describe five ethical considerations to be made in radiography due to technological innovations.

 During a radiographic examination of a suspected knee fracture, the patient’s wheelchair slipped, causing her to fall on her injured knee and scream in pain. The radiographs revealed a proximal fracture of the fibula. What charge could be brought against the radiographer?”

List six information items that are legally required on the x-ray form as part of the patient’s records