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).
Learn more about regression line here: brainly.com/question/7656407
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-9 × 3 - 4² = -27 - 16 = -43
3² + 2² = 9 + 4 = 13
(-9 × 3 - 4²)/(3² + 2²) = -43/13 = -3 4/13
20 divided 100 = .2 then u multiply 16.5 by .2 =3.3 then u subtract that from 16.5 and u get 13.2
Answer:
p^(m+n)
Step-by-step explanation:
p^m * p^n
We know that when they are multiplied when the bases are the same, we add the exponents
p^(m+n)
11 = -3k - 22 - 8k
11 = -11k - 22 <em>added like terms (-3k and -8k)</em>
<u>+22</u> <u> +22 </u>
33 = -11k
-3 = k
Answer: k = -3
