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The equation of the least-squared regression line is: In(Element) = 2.305 - 0.101(Time).
<h3>What is a regression line?</h3>
A regression line displays the connection between scattered data points in any set. It shows the relation between the dependent y variable and independent x variables when there is a linear pattern.
According to the given problem,
From the table we can see,
ln(Element) is the dependent variable and Time is the independent variable.
The constant = 2.305,
Time = -0.101
Hence, we can conclude, our least squared regression line will be
In (Element) = 2.305 - 0.101 (Time).
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Answer:
20
Step-by-step explanation:
Using the rule of radicals
× ⇔
Simplify
= = × = 2
Thus
6 + 8
= 6(2 ) + 8
= 12 + 8
= 20
Answer:
F
Step-by-step explanation: