The awnser is :
6y^3 + 17y^2 + 22y + 15
Hope it 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:
$9.07 per pound
Step-by-step explanation:
Take the total cost and divide by the number of pounds
$11.25/ 1.24
$9.072580645 per pound
Rounding to the nearest cent
$9.07 per pound
Answer is B. 2.19/Ib (just divide 4 by 8.76)
Answer:
P, M, N and C are coplanar, because they are on the same plane.
Noncollinear, because they are not on the same line.
Hope this helps :)
