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:
29
Step-by-step explanation:
Answer:
Step-by-step explanation:
Multiply 8 with 2h and 1
Answer:
a) 105 degrees
b) 75
c) 105
Step-by-step explanation:
a) 180-75 is 105 (supplementary angles)
b) same angle as kings ave and 4th street. (supplementary angles)
c) 180-75 is 105 (also vertical angle rule)
The true comparison is the typical value is greater in set A. The spread is greater in set B.
<h3>What is the true comparison?</h3>
Spread is used to measure the variability of a data set. Range can be used to measure spread. Range is the difference between the largest number and the smallest number in the dataset.
- Spread of set A = 7 - 5 = 2
- Spread of set B = 8 - 1 = 7
The median can be used to measure the typical value of the dataset. Median is the number at the center of the data set.
- Median of set A = 6
- Median of set B = 4
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