Answer:
Step-by-step explanation:
10 is linear
This one is linear because a linear relationship moves at a constant rate
The table shows that y is moving at a constant rate of +3
11 is neither
This relationship is neither because its not moving at a constant rate and neither is it exponential
That is not true, but 1/6 is less than 1
Answer:
Step-by-step explanation:
line 1 is H
line 2 is C
line 3 is D
line 4 is G
:)
<h3>
Answer: Choice B</h3>
Explanation:
You can use Excel to make the graph, but other free options work just fine. I used LibreOffice to make the graph shown below.
Each point on the line graph represents a frequency for a given time value. The first point being 4 units high, means there were 4 customers at 8:00 AM. Then there were 6 customers at 9:00 AM, meaning the next dot has a height of 6. And so on.
The graph shown below matches with choice B.
Answer:
Option c) 0.80
Step-by-step explanation:
We have to approximate the most possible correlation between spending on tobacco and spending on alcohol.
- Correlation is a technique that help us to find or define a relationship between two variables.
- A positive correlation means that an increase in one quantity leads to an increase in another quantity
- A negative correlation means with increase in one quantity the other quantity decreases.
- Values between 0 and 0.3 tells about a weak positive linear relationship, values between 0.3 and 0.7 shows a moderate positive correlation and a correlation of 0.7 and 1.0 states a strong positive linear relationship.
- Values between 0 and -0.3 tells about a weak negative linear relationship, values between -0.3 and -0.7 shows a moderate negative correlation and a correlation value of of -0.7 and -1.0 states a strong negative linear relationship.
a) 0.99
This shows almost a perfect straight line relationship between spending on tobacco and spending on alcohol. Thus, this cannot be the right correlation as the relationship between spending on tobacco and spending on alcohol is not so strong.
b)-0.50
This shows a negative relation between spending on tobacco and spending on alcohol which cannot be true as they share a positive relation.
c) 0.80
This correlation shows a strong positive correlation between spending on tobacco and spending on alcohol which is correct because the relationship between spending on tobacco and spending on alcohol is positive
d)0.08
This correlation shows a very weak positive correlation between spending on tobacco and spending on alcohol which cannot be true.
