M•8=142 is the equation i believe
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.
1 is neither prime nor composite
1
a and d are supplementary angles, forming a line or adding to 180 degrees, so
d =180 - 120 = 60 degrees
2
f and h are called vertical angles, which are congruent.
h=70 degrees
3
c and f are supplementary. I think they're called consecutive angles.
f = 180 - c = 70 degrees
4
b and c are supplementary, c and g are congruent so
g = 180 - b = 120 degrees
You know that two lines are parallel if they have the same slope, so the new line will also have slope
Because the equation of the given line is written in the form
Then, you can use point slope equation, which is
So,
Therefore, the equation of the line that is parallel to y=1/3x-2 and goes through point (0,6) is
