The examination phase
Further Explanation:
Hardware troubleshooting in computers requires a systematic and logical approach. Taking a logical approach helps you identify the root cause much easily. Ask yourself those questions first before getting to the bottom of anything. You will find it helpful to reproduce the problem and develop a hypothesis of the problem if you ask yourself those 20 questions.
Next comes the examination phase. Having gathered everything, I will now attempt a fix based on what I think I found. In my case, I suspect that there a component in my computer that is fried. A few ways to tell if my motherboard or components attached to the motherboard are fried is to remove the side panel first and examine the circuitry before removing any unnecessary hardware devices. Obvious sings will be smell of smoke. Examine the capacitors as well. Burnt capacitors have rounded tops. This is a clear indication that they are blown.
I will now remove every single component one by one from the motherboard and test my hardware on a low-level.
Learn more about computer hardware troubleshooting
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Answer:
x = int(input("What grade are you in? "))
if(x == 9):
print("Freshman")
elif(x == 10):
print("Sophomore")
elif(x == 11):
print("Junior")
elif(x == 12):
print("Senior")
else:
print("Not in High School")
Explanation:
The accurate answer is
A compiler takes your source code, it converts the entire thing into machine language and then stores these equivalent machine language instructions in a separate file. We programmers call that the "executable file.
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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.
