1. Which of the following is NOT a task facilitated by R? Data cleaning Model development Data generation Model evaluation 2. To combine functions, use the_ parentheses O slas pipe operator two commas . Which of the following is NOT true? In statistics, coherence is an indication of the quality of the information in a single data set. Data formatting ensures that data is consistent and easily understandable. Fully coherent data is consistent and can be reliably combined for analysis. In a data set, data is usually collected from a single source and stored in a single format. 4. Which of the following situations does NOT call for data normalization? When the scale of a feature causes it to have a disproportional impact on results When different data set features are in very different ranges When there are outliers that might skew the results When you want to compare n erical and character values 5. What are descriptive statistics? A way of relating different data sets A method for revealing details about a data set A shallow analysis of data that tells very little about it A method for showing some basic features of a data set 6. What is the F-test score? It's a measure of whether variance is statistically significant. It is the variance between sample group means divided by variance within the sample group It measures level of confidence in results. If it is small, it indicates a strong correlation between va riable categories and the target 7. A positive correlation is one in which both variables move in opposite directions both variables move in the same direction only one variable moves a causative relationship is shown 8. Which of the following is NOT true about a model? Models work by relating one or more independent variables to dependent variables. The more data you have. the more accurate your model will be Different types of models may be more accurate in different situations. A model cannot predict a value given only one other value. 9. Which of the following is NOT a method for evaluating a regression model? Mean absolute error (MAE) Root absolute error (RAE) Mean squared error (MSE) Root mean squared error (RMSE) 10. A training set is _ multiple data sets that have been run on the model a selected portion of the data set that is known to function well within the model as mance of a model a large portion of a data set that is used to build a sound model