Since Q and R are independent, this means P(Q and R) = P(Q)*P(R)
<span>P(Q and R) = P(Q)*P(R)
</span><span>P(Q and R) = (4/5)*(4/11)
</span><span>P(Q and R) = (4*4)/(5*11)
</span>P(Q and R) = 16/55
What are you supposed to do.
I think the correct is A.7
Answer:
Predicted final score of Josh 
Step-by-step explanation:
The linear regression relationship has been established between the final-exam score and the score on the first test
The relation ship is represented by a linear equation -
Where
score on the first test
final-exam score
Substituting the value of 
in above equation we will get -
Predicted final score of Josh
Answer:
Please check the explanation.
Step-by-step explanation:
Given the function
Putting all the values of y=9, 6, 0, and -3 to complete the table
FOR y=9
putting y=9
switch sides
subtract 3 from both sides
Hence,
when y=9, x=4
FOR y=6
putting y=6
switch sides
subtract 3 from both sides
Hence,
when y=6, x=2
FOR y=0
putting y=0
switch sides
subtract 3 from both sides
Hence,
when y=0, x=-2
FOR y=-3
putting y=-3
switch sides
subtract 3 from both sides
Hence,
when y=-3, x=-4
Hence, the table becomes:
x y
9 4
6 2
0 -2
-3 -4
