<h3>The constant of variation is

</h3><h3>The equation is

</h3>
<em><u>Solution:</u></em>
Given that,
The conversion of square feet to square yards can be represented by direct variation
Let y represent the number of square yards
Let x be the number of square feet

y = kx ------ eqn 1
Where, "k" is the constant of variation
Three square yards are equivalent to 27 square feet
Substitute, y = 3 and x = 27 in eqn 1

Thus the constant of variation is 
<em><u>What is the equation representing the direct variation?</u></em>
Substitute k = 1/9 in eqn 1

Thus the equation is found
Answer:
You did it correctly that's the right answer
Great Job!
Answer: A, B and E
Step-by-step explanation:
A residual values should be equally and randomly spaced around the horizontal axis. If the plot looks like any of the images in C and D, then the data set is probably not a good fit for regression. A non-linear pattern is more appropriate.
Answer:
Sum: 18
Conversion to inches: 7.0866
Step-by-step explanation:
Not exactly sure what you are trying to ask here... But I'll do my best?
1. If you are trying to add each measurement together, you start by writing out: 6 + 5 + 4 + 3. Now you can break it down into smaller parts to be easier.
6 + 5 = 11. 11 + 4 = 15. 15 + 3 = 18.
So the sum of the measurements is 18!
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2. If you are trying to convert this measurement into inches, you could follow these directions:
Since one inch is equal to about 2.54 centimeters, you would need to divide the sum of the values by 2.54.
So 18 / 2.54 is roughly equal to: 7.0866.
To figure out if the given relation is a function, we first need to know what a function is:
Function: A relation which relates the element x of set X with a single element of set Y
which means that every value of x can give only one value of y
but we can clearly see from the provided diagram that 5 has 2 possible outputs. Hence, the given relation is NOT a function