LCD is 20
3/5 -> 12/20
1/20 -> 1/20
Answer:
the slope of the regression equation for predicting our Exam 2 scores from Exam 1 scores is 0.492
And the y-intercept of the regression equation for predicting our Exam 2 scores from Exam 1 is 33.688
Step-by-step explanation:
Given the data in the question;
mean X" = 86
SD σx = 10
Y" = 76
SD σy = 8.2
r = 0.6
Here, Exam 2 is dependent and Exam 1 is independent.
The Regression equation is
y - Y" = r × σy/σx ( x - x" )
we substitute
y - 76 = 0.6 × 8.2/10 ( x - 86 )
y - 76 = 0.492( x - 86 )
y - 76 = 0.492x - 42.312
y = 0.492x - 42.312 + 76
y = 0.492x + 33.688
Hence, the slope of the regression equation for predicting our Exam 2 scores from Exam 1 scores is 0.492
And the y-intercept of the regression equation for predicting our Exam 2 scores from Exam 1 is 33.688
Answer:
The answer to this question is D.
Step-by-step explanation:
Congruent angles are the same
5x-24=9x-17
-4x=-41
x=10.25
Examples :
2/x < 4 ....multiply both sides by x, cancelling it on the left side
2 < 4x ...now divide by 4
2/4 < x
1/2 < x
5/x + 7 > = 12
5/x > = 12 - 7
5/x > = 5 ....multiply by x, cancelling it on the left
5 > = 5x...divide by 5
5/5 > = x
1 > = x
Answer
D)
Step-by-step explanation:
I think it is D but I am not 100% sure
