Answer: A
Step-by-step explanation: Milligram to Centigram
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Answer:
<u>Explanatory variable</u> (independent variable)
- The variable that affects the other variable.
- Drawn along the horizontal axis.
<u>Response variable</u> (dependent variable)
- The variable that is being affected.
- Drawn up the vertical axis.
(a) As the class wondered if they could <em>predict the father's height</em>, when they<em> know the son's height</em>
Explanatory variable = son's height
Response variable = father's height
(even though this is contrary to real-life, where the father's height would be used to predict the son's height)
(b) **see first attachment**
(c) The association is positive since the father's height increases as the son's height increases.
(d) **see second attachment**
Outlier = Paul (64.5, 73)
This point is far away from the majority of points on the scatter plot.
If we add a regression line to the scatter plot, we can see that this data point is the farthest from the regression line.
Answer:
8
Step-by-step explanation:
If j represents Jack's age, we have ...
2j +5 = 21
2j = 16 . . . . . . subtract 5
j = 8 . . . . . . . . divide by 2
Jack is 8 years old.
Answer:
No. 1 is inductive, cos the evidence is based on proberbility as not all pennies are silver color, since thier color could change over time (fade)
while
No 2 is deductive since all even numners are divisible by 2, there is a full assurance of the outcome.