We will have the following:
Using exponential regression we will have that the line of best fit will be:
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Now, we will have that:
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So, the approximation using linear regression gives us as solution approximately 29.7 years; thus the closest one to match is then
<h3>
Hello there today we will solve your problem</h3>
here is our equation,
,
Now we will plug in our numbers
__________________

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__________________

simplify it and we get
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

Answer:
a 3² +4² = 25 the factors are 5²
b 8²+6²= 100 the factors are 5²and 2²
c 12²+5²= 169 the factors are 13²
d 8²+15²= 289 the factors are 17²
Answer:
Step-by-step explanation:
last answer
Answer:
The intervals on the y-axis are inconsistent.
Step-by-step explanation:
The x- and y-axes start at 0 - this is what graphs normally start with - it is out of the norm to not start at 0.
The intervals on the y-axis are inconsistent - this can cause a problem - we humans tend to judge a graph on height, so changing some of the intervals can mess up a human's actions based on the graph,for example people might think more positively or negatively of a brand or company, and even a totally different view.
The intervals on the y and x-axis are different - they can be different for particular reasons, for example a company might want to put time intervals in months on the x-axis and revenue in dollars on the y-axis - sometimes it is just necessary.
Differing heights are used on a bar graph - this allows us to compare data - without it we would not be able to do much with it.