___________________ refers to the relative purity or the amount of white light mixed with the hue.

___________________ allow the conversion of grayscale images into color images.

The FDA approved AAV product Zolgensma (Onasemnogene abeparvovec) is used to provide the normal allele for what disease?

Why is knowledge of the PAM sequence important for designing gene editing experiments?

Which form of RNA/DNA gene therapy are FDA approved COVID vaccines?

POISSON REGRESSION We will use the dataset “poisson_data” for this question ## Features: **Transaction_Hour (Numerical):** Hour of the day when the transaction occurred (0-23) **Previous_Frauds (Numerical):** Number of previous fraudulent transactions by the user (0-5) **Account_Age_Days (Numerical):** Age of the account in days (1-5000) **Fraud_Count (Numerical):** Number of frauds (Response variable) Q6 Poisson Regression  (Use poisson_data for this question) (5 points) a. i) (2 points)  Fit a poisson regression model using all the predictors from the “poisson_data” and “Fraud_Count” as the response variable. Call it ’pois_model1 and display the model summary. ii) (1 point) Interpret the coefficient of “Previous_Frauds” in pois_model1 with respect to the log expected “Fraud_Count”. b. (2 points) Calculate the estimated dispersion parameter for “pois_model1” using both the deviance and Pearson residuals. Is this an overdispersed model using a threshold of 2.0? Justify your answer.

Q3. Goodness of fit tests (Use trainData for this question) (9 points) a.i (1 point) Can we perform goodness-of-fit tests for model2? Why or why not? ii. (1 point) If not, how can we modify the dataset to enable goodness-of-fit testing?iii. (5 points) Convert the dataset accordingly and fit a logistic regression model. Name it model3, and display its summary. b. (2 points) Use the Deviance residuals to form goodness-of-fit hypothesis tests on model3. What do you conclude from the result of the test?

Which of the following statements about cross-validation and classification error rate are True? 

Which of the following statements about multiple linear regression are correct?

We apply a classification model and obtain the estimated classification provided in the table, which also provides the observed classification. Use the following table contrasting the estimated versus the observed classification for questions 15-20:     Estimated Classification YES NO Observed Classification YES 105 228 NO 40 9627