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 positive impact are :
It can work for a long time.
It can solve millions of calculations in a few seconds and save huge amount of data.
It helps to know about technology and other things.
It can be carry from one place to another place.
The negative impacts are :
It may creates health and unemployment problems.
It is useless without electricity.
It have no self thinking power.
It required a trained person to do work
Answer:
The python program is given with appropriate comments
Explanation:
#Implementation of printStars function
def printStars(n):
#check if n is greater than 0
if n>0:
for i in range(n):
print ('*', end="")
#Declare starCount and initialize some negative integer
starCount = -8
if starCount>0:
print ('*', end="")
printStars(starCount-1)
The answer is "the failure to pay back a loan".
In computer systems, we have a different meaning to the word default. It is referred to the setting or option in a computer upon opening a program or application. But according to the dictionary, default refers to the failure to make a payment such as a loan.
<u>Affinity analysis </u>is a data mining application that discovers co-occurrence relationships among activities performed by specific individuals or groups, such as market basket analysis.
<h3>What is affinity analysis?</h3>
Affinity Analysis is a type of predictive analysis method that uses data mining to uncover hidden, insightful correlations between various variables based on how frequently they occur between distinct persons or groups in the dataset.
The Product Affinities Analysis sheds light on the items that clients buy in tandem during a shopping trip, such as how they are filling out a broader weekly shopping trip or putting together specific meals.
Therefore, Affinity analysis is a data mining tool that identifies co-occurrence patterns between tasks carried out by particular people or groups, like market basket analysis.
To learn more about affinity analysis, refer to the link:
brainly.com/question/13077215
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