Y=(1/2)x cause the constant variation is 1/2
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:
B.
Explanation:
B is not a regular polygon because it's not all of the sides and angles are congruent.
Answer:
C cuz the propotional increases over time
Step-by-step explanation:
Easy just think of it as 30 and 3
Answer:
d=20/3 or 6.6 repeating
Step-by-step explanation:
Let's solve your equation step-by-step.
12−
3
4
(d+16)=−5
Step 1: Simplify both sides of the equation.
12−
3
4
(d+16)=−5
12+
−3
4
d+−12=−5(Distribute)
(
−3
4
d)+(12+−12)=−5(Combine Like Terms)
−3
4
d=−5
−3
4
d=−5Step 2: Multiply both sides by 4/(-3).
(
4
−3
)*(
−3
4
d)=(
4
−3
)*(−5)
d=
20
3
Answer:
d=
20
3
