The linear model is the best fit for the relationship.
According to the statement
we have given that the relationship between gross box office sales and home video units significant and the linear model is the best fit for the relationship.
And we explain all the given statements.
So, For this purpose, we know that the
Since the p-value of the independent variable, 0.0000, is less than 0.05, we can be 95% confident that there is a significant linear relationship between gross box office and home video units.
And the
linear model is used in different ways according to the context. The most common occurrence is in connection with regression models.
So, the linear model is appropriate for the comparisons.
So, The linear model is the best fit for the relationship.
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Answer:
Neither
Step-by-step explanation:
After substituting the ordered pair into the equation, none of the pairs satisfy the equation
because 6(3)+3(-2)=12 and 6(2)+3(2)=18.
A coordinate plane with the x-axis labeled Blueberries (in pints) and the y-axis labeled Cost (in dollars) shows a line going through (0, 0) and (5, 17).
<h3>What is directly proportional?</h3>
It is defined as the relationship between two quantities as one quantity increases the other quantity also increases and vice versa.
It is given that there is a proportional relationship between cost and pints of blueberries as,
Blueberries (in pints) 2 5
Cost (in dollars) 6.80 17
17/6.80 = 5/2
As we draw the graph and analyze each option one by one we get the graph shown by the statement C following the given proportional relationship.
Thus, a coordinate plane with the x-axis labeled Blueberries (in pints) and the y-axis labeled Cost (in dollars) shows a line going through (0, 0) and (5, 17).
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Answer:
y = -x
Step-by-step explanation:
it because the reflection change the value of x become -y
so the reflection we can use is the line y = -x
2 cookies. 72/36= 2 cookies per minute.