The flashing yellow light indicates that people should be aware of other cars and turn carefully. To be more safe, you should slightly slow down, make sure all signals that should be on are on, and you should drive very carefully.
The correlation that is obtained when the pearson correlation is computed for data that have been converted to ranks is option A) The Spearman correlation.
<h3>What is Spearman correlation used for?</h3>
Spearman's correlation is known to be one that tends to look into or measures the strength and way of monotonic relationship between two variables.
It is one that is a nonparametric measure that is often known to be rank correlation and it tends to examine how well the association between two variables can be said to using a monotonic function.
Hence, The correlation that is obtained when the pearson correlation is computed for data that have been converted to ranks is option A) The Spearman correlation.
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See full question below
) What correlation is obtained when the Pearson correlation is computed for data that have been converted to ranks?
A) The Spearman correlation
B) The point-biserial correlation
C) The phi coefficient
D) It is still called a Pearson correlation
Answer:
Purposes of Data Layer, in the Layered model for web applications are as following:-
1. The data Layer,is the third layer and it takes care of the all the operations concerning the database level.
2. This data layer gets a command from the application layer to send a query to the database and will process this command according to the type of database that is used.
3. It will ensure that the correct connections to the database are set.
4. It is represented by the Database.
Answer:
Fair use
Explanation:
I don't know if this is correct but Its the best option.
Answer:
<em>e. Industrial Internet of Things</em>
Explanation:
The industrial Internet of Things (IIoT) <em>is the use of intelligent detectors and actuators to improve manufacturing processes and production. </em>
IIoT utilizes the power of intelligent machines and real-time big data to take full advantage of data produced for years by "dumb" machines in industrial settings.
