Answer:
19
Step-by-step explanation:
7x-7=126
add+7 to 126 and you will get 133
7x/133
x=19
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:
-1/5
Step-by-step explanation:
make them have the same denominator by multiplying -1/2 by 5 on the bottom and top which then gives you -5/10 + 3/10 that then gives your -2/10 which reduces to -1/5
Let's solve for x.
y=x−3
Step 1: Flip the equation.
x−3=y
Step 2: Add 3 to both sides.
x−3+3=y+3
x=y+3
Answer:
x=y+3
Let's simplify step-by-step.
−5x+9
There are no like terms.
Answer:
=−5x+9
