A linear regression is a regression that can be represented by a linear line of best fit.
The equation of the line of best fit is
<h3>How to determine the equation</h3>
From the graph, we have the following ordered pairs
(x,y) = (50,150) and (100,270)
The slope (m) is then calculated as:
This gives
The regression line crosses the y-axis at b = 33.2
A linear regression is represented as:
y = mx + b
So, we have:
Hence, the equation of the line of best fit is
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Answer:
Step-by-step explanation:
The rationalizing factor of
is
Answer:
Constant of proportionality:
Equation:
Step-by-step explanation:
By definition, Direct proportion equations have the following form:
Where "k" is the Constant of proportionality.
In this case, let be "c" the the amount of caffeine consumed (in mg) from a glass of Diet Pepsi and "d" the number of ounces that was drank.
So, the equation that represents this relationship will have this form:
Then, the first step is to find the Constant of proportionality "k".
Knowing that:
We can substitute values into the equation:
Now, solving for "k", we get:
Therefore, we can write the following equation that represents that proportional relationship:
Answer:
1.8 or less
Step-by-step explanation:
girls 1.8 or less