Answer:
d. always zero.
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 a 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.
Answer:
its C (l = l equals StartFraction S Over pi minus r squared. – r2)
Step-by-step explanation:
i guessed and got it right(:
It might be A but I'm not 100% sure inequalities was my worst thing I learned in algebra 2<span />
For this you can write equations for your business and your friend's. For your's it would be y=10x-25 and for your friend's it would be y=13x-55. Now at this point you can just plug in numbers until you match up. Your answer would be 10, if you want to you can plug it in to check.
23.0975 rounded to the nearest thousandths is 23.098
