Step-by-step explanation:
a could be 3580 X 1.25^n
b could be 6992.19
dk c
Answer:
d. No, you should examine the situation to identify lurking variables that may be influencing both variables
Step-by-step explanation:
Hello!
Finding out that there is a regression between two variables is not enough to claim that there is a causation relationship between the two of them. First you have to test if other factors are affecting the response variable, if so, you have to control them or test how much effect they have. Once you controled all other lurking variables you need to design an experiment, where only the response and explanatory variables are left uncontroled, to learn if there is a regression and its strenght.
If after the experiment, you find that there is a significally strog relationship between the variables, then you can imply causation between the two of them.
I hope it helps!
Part 1) Computing (p °q) (5)
<h3>Answer: 2</h3>
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Part 2) Computing (q °p) (5)
<h3>Answer: -1</h3>
20
PQ=2x-x=x
PQ=OP=x
Because PQ=10
OP=10
OQ=PQ+OP=20
Answer:
120
Step-by-step explanation:
BLUE:RED
5:3
5+3= 8 =100%= The whole jar
320÷8= 40 = 1 part
40×3=120
120= the red marbles in the jar
hope this helps