Answer:
The answer is B - A high correlation between two or more independent variables.
Step-by-step explanation:
There are many factors that shows the possible presence of multicollinearity in a regression analysis. Multicollinearity occurs when independent variables in a regresssion model are correlated; the independent variables as their names implies is to be fully independent (on their own).
Based on the options; multicollinearity occurs when there is a high correlation between two or more independent variables.
Answer:
Fifteen and six hundredths
Step-by-step explanation:
Answer:
Yes. 25 and 26 equal 51, so one of the consecutive numbers could be 25.
Step-by-step explanation:
4^3 is 64 and 3^4 is 81. Therefore the answer to the circled question is -17.
Answer:
0, for q ≠ 0 and q ≠ 1
Step-by-step explanation:
Assuming q ≠ 0, you want to find the value of x such that ...
q^x = 1
This is solved using logarithms.
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x·log(q) = log(1) = 0
The zero product rule tells us this will have two solutions:
x = 0
log(q) = 0 ⇒ q = 1
If q is not 0 or 1, then its value is 1 when raised to the 0 power. If q is 1, then its value will be 1 when raised to <em>any</em> power.
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<em>Additional comment</em>
The applicable rule of logarithms is ...
log(a^b) = b·log(a)
