31. R is best described as a __________. Select one: a. Programming Language b. Statistics Package c. Development Framework d. Data Analysis Tool 32. A
31.
R is best described as a __________.
Select one:
a. Programming Language
b. Statistics Package
c. Development Framework
d. Data Analysis Tool
32.
A farmers yield of corn is expressed as a linear regression model based upon the input variable which is the number of days of sunlight during the growing season. The model is express as Y = mX + b where Y is the estimated corn yield in bushels per acre, m = 1.43 and b = 50. Assuming that during the growing season it is predicted that there will be 82 days of sun, what will the corn yield be in bushels per acre?
Answer:
33. True or False: The random assignment of observations (data items) within the K-means cluster approach has no impact on the outcome of the algorithm. The resulting clusters will be the same every time the algorithm is executed.
35.
A database where all of the values for a particular column are stored contiguously is called?
Select one:
a. Column-oriented storage
b. In memory database
c. Partitioning
d. Data Compression
36. The server architecture for parallelization that features multiple servers where each server is a low cost industry standard device that has its own disk, processors, and private memory is called a .................. system
37, The server architecture for parallelization that features multiple servers where each server is a low cost industry standard device that has its own disk, processors, and private memory is called a Answer system.
39.
Data Mining is designed to detect patterns in data or to detect when an instance of data does NOT follow the regular pattern. What do we call the process to identify when data does not follow a regular pattern?
Select one:
a. Anomaly Detection
b. Principle Components Analysis
c. Logistical Regression
d. Clustering
40. True or False: A regression model has a R2 statistic of .95. This indicates that the regression model is NOT a good fit and does a poor job of predicting the outcome based upon the input variables.
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