Answer:
This is a multicolinearity problem and the student should determine the variable(s) that cause(s) the problem and remove it.
Explanation:
This information means that there exists a linear combination between the independent variables. The problem might have developed due to multicolinearity producing almost perfectly linearly dependent columns.
This could also be as a results of single matrix created when the student use an incorrect indicator variables and included an additional indicator column which created linearly dependent columns.
The two access modes that are used when opening a file for input and output when pickling are rb and wb.
<h3>What is pickling?</h3>
Pickle is generally used in Python to serialize and deserialize a Python object structure. In other words, it is the act of transforming a Python object into a byte stream in order to save it to a file/database, maintain program state across sessions, or transport data over a network. By unpickling the pickled byte stream, the original object hierarchy can be recreated. This entire procedure is comparable to object serialization in Java or .Net.
When a byte stream is unpickled, the pickle module first makes an instance of the original object before populating it with the right data. To accomplish this, the byte stream only carries data relevant to the original object instance.
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Answer:
The statement to this question can be given as:
Statement:
void printLarger(int sales1, int sales2)//function declaration.
{
//function body
}
Explanation:
Function is a group of organized code that is used to perform some specific task.
Syntax:
return-type functionname(parameters1,....parameter n)
{
//function body.
}
In the above function definition we define a function that is "printLarger". This function accepts two integer parameters that is "sales1 and sales2" and does not return any value because we use return-type void.