So, the first brand has 9% vinegar, and say we use "x" amount of it, then, the amount of vinegar in "x" is 9% of x, or (9/100) * x, 0.09x.
the second brand has 14% of vinegar, and if we use say "y" amount of it, then the amount of vinegar in "y" is really just 14% of "y" or, (14/100) * y, 0.14y.
so, whatever "x" and "y" are, we know that
x + y = 230.
and we also know that their concentration amounts will also add up,
0.09x + 0.14y = 29.9.
how many milliliters will it be for the second brand? well, y = 230 - x.
By selecting a regression specification based on R2 a, a researcher implicitly adopts which of the following principles explain as little of the variation in y using as many xi as possible.
<h3>What does R² value tells you?</h3>
R² value provides an estimate of the relationship between the motion of the dependent variable, which depends on the movement of the independent variable in the equation.
The linear regression equation can be given as,
Here, Y is dependent variable and X is independent variable. Using the regression equation, it is see that how much Y value changes when we change the value of X.
Variation is the distribution of the value of Y, which is little for the different xi possible.
Thus, by selecting a regression specification based on R2 a, a researcher implicitly adopts which of the following principles explain as little of the variation in y using as many xi as possible.
Learn more about the regression here;
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Slope = (6 +9) / (2 +1) = 15/3 = 5
y = mx + b
-9 = 5(-1) +b
b = - 4
equation
y = 5x - 4
???? What's the answer to this question