Answer:
<h3>2. 4.9x^5 - 5x^3 + 2.3</h3><h3 /><h3>3. 78x^6 y^3 z^3</h3><h3 /><h3>4. 6x^2 + 14x - 12</h3><h3 /><h3>8. 9mnr^2 - 10m^2 + 7n - 14m^2 n</h3><h3 /><h3>9. 81x^3 y + 45 x^2 y^2 - 9xy^4</h3><h3 /><h3 /><h3 />
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.
Step-by-step explanation:
because the total sum of each percent is 90%
and it must be 100% as it is a full circle
Answer:
When you multiply an odd number of negatives you get a negative result. When you multiply an even number of negatives you get a positive result.
First, multiply normally.
25x10x5
1100
Then determine whether the sign is positive or negative. Since there is an odd number of negatives, the sign is negative.
So, the answer is -1100.
:)
Let n = number of records.
Each record costs $7, so n records cost 7n.
She then spent $3, so the total spent is 3n + 3.
She spent a total of $24, so 3n + 3 must equal 24. That gives us the following equation.
7n + 3 = 24
Subtract 3 from both sides.
7n = 21
Divide both sides by 7.
n = 3
Answer: She bought 3 records.
