Answer:
II. The sum of the residuals is always 0.
Step-by-step explanation:
A least squares regression line is a standard technique in regression analysis used to make the vertical distance obtained from the data points running to the regression line to become very minimal or as small as possible.
For any least-squares regression line, the sum of the residuals is always zero.
Basically, residuals are used to measure or determine whether or not the line of regression is a good fit or match for the data by subtracting the difference between them i.e the predicted y value and the actual y value, for the x value respectively.
Hence, the statement about residuals which is true for the least-squares regression line is that the sum of the residuals is always zero (0).
<h2>
Hello!</h2>
The answer is:
The fabric will cost $4.58
D.$4.58
<h2>Why?</h2>
Since it's a conversion exercise, we need to pay special attention to the conversion procedure.
From the statement we know that:

So, if she needs 10 feet of fabric, we need to convert it to meters, and then, calculate its cost.
We have that:

Now, we have that each meter of fabric cost $1.50, so, 3.05m of fabric will cost:

Hence, we have that the cost of the fabric will be $4.58.
The correct option is: D.$4.58
Have a nice day!
Answer:
AB = 
Step-by-step explanation:
calculate the distance using the distance formula
d = 
with (x₁, y₁ ) = B (3, 2 ) and (x₂, y₂ ) = A (7, 4 )
AB = 
= 
= 
= 
≈ 4.47 ( to 2 dec. places )
Answer:
Yes
Step-by-step explanation:
A rational number can be expressed as a quotient of two integers. Therefore 78/10 = 39/5 = 0.78 represents a rational number between 7.7 and 7.9. Answer: 39/5