The first thing you need to know is f is the greatest common factor
here they are asking you for 3x meaning you power ( ^) can't go greater than 3
here are two forms
5x^2+8x^3+1
another one
2z^3-y^2+6
hope this helps
Which characteristic of a data set makes a linear regression model unreasonable?
Answer: A correlation coefficient close to zero makes a linear regression model unreasonable.
If the correlation between the two variable is close to zero, we can not expect one variable explaining the variation in other variable. For a linear regression model to be reasonable, the most important check is to see whether the two variables are correlated. If there is correlation between the two variable, we can think of regression analysis and if there is no correlation between the two variable, it does not make sense to apply regression analysis.
Therefore, if the correlation coefficient is close to zero, the linear regression model would be unreasonable.
Answer:
<h2>Yes. It's a right triangle.</h2>
Step-by-step explanation:
If a ≤ b < c are the length of the sides of a right triangle, then
a² + b² = c².
We have:
a =30 ft, b = 40 ft and c = 50 ft.
Check the equality:
L = 30² + 40² = 900 + 1600 = 2500
R = 50² = 2500
L = R
R=50 because 8×50=400 so that is what r would equal
The exponent would be 5 the fifth power, because since the number your using to multiply it by is 5 and you are multiplying is by 5 fives it would be 5 to the fifth power
