Question

The least squares regression line for a data set is yˆ= -4.6+1.56x and the standard deviation...

The least squares regression line for a data set is yˆ= -4.6+1.56x and the standard deviation of the residuals is .52

Does a case with the values x = -1.12, y = -8 qualify as an outlier?

  • A. Cannot be determined with the given information
  • B. No
  • C. Yes

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
For the data set below, (a) Determine the least-squares regression line. (b) Compute the sum of...
For the data set below, (a) Determine the least-squares regression line. (b) Compute the sum of the squared residuals for the least-squares regression line. x 20 30 40 50 60 ___________________ y 106 95 82 70 54 (a) Determine the least-squares regression line. ^ y =[]x +[] ( round to four decimal places as needed.)
Select all the statements that are true of a least-squares regression line. 1. R2 measures how...
Select all the statements that are true of a least-squares regression line. 1. R2 measures how much of the variation in Y is explained by X in the estimated linear regression. 2.The regression line maximizes the residuals between the observed values and the predicted values. 3.The slope of the regression line is resistant to outliers. 4.The sum of the squares of the residuals is the smallest sum possible. 5.In the equation of the least-squares regression line, Y^ is a predicted...
Compute the least-squares regression equation for the given data set. Round the slope and y -intercept...
Compute the least-squares regression equation for the given data set. Round the slope and y -intercept to at least four decimal places. x 5 4 2 6 3 y 4 5 1 3 6 Send data to Excel Regression line equation: = y
Compute the least-squares regression equation for the given data set. Round the slope and y -intercept...
Compute the least-squares regression equation for the given data set. Round the slope and y -intercept to at least four decimal places. x 6 1 4 7 3 y 2 4 1 7 6 Regression line equation: y=?
compute the least-squares regression equation for the given data set. Round the slope and y -intercept...
compute the least-squares regression equation for the given data set. Round the slope and y -intercept to at least four decimal places. x 7 4 5 2 1 y 2 6 5 1 7 Regression line equation: y=
In Exercises 13–16, compute the least-squares regression line for the given data set. 16. x 5.7...
In Exercises 13–16, compute the least-squares regression line for the given data set. 16. x 5.7 4.1 6.2 4.4 6.5 5.8 4.9 y 1.9 4.8 0.8 3.9 1.2 1.7 3.0
Find the slope of the equation of the least-squares regression line for the following data set....
Find the slope of the equation of the least-squares regression line for the following data set. x y 59 -119 24 -35 50 -107 47 -73 41 -78 72 -117 40 -55 Round your answer to two decimal places.
Compute the least-squares regression equation for the given data set. Use a TI-84 calculator. Round the...
Compute the least-squares regression equation for the given data set. Use a TI-84 calculator. Round the slope and y-intercept to at least four decimal places. x 10 6 8 14 −7 −1 7 −9 y 3 1 30 31 0 3 −3 −15 Send data to Excel Regression line equation: =y the data is the numbers connected to the x and y lines for x the numbers are 10, 6, 8, 14, -7, -1, 7, -9 for y the numbers...
Compute the least-squares regression equation for the given data set. Use a TI- 84 calculator. Round...
Compute the least-squares regression equation for the given data set. Use a TI- 84 calculator. Round the slope and y -intercept to at least four decimal places. x 5 7 6 2 1 y 4 3 2 5 1 Regression line equation: y=
The slope of the least squares regression line is given by where r is the correlation...
The slope of the least squares regression line is given by where r is the correlation coefficient, sx is the standard deviation of the X‑values, and sy is the standard deviation of the Y‑values. If r = 0.25, sx = 2, and sy = 5, then how much should we expect Y to decrease for every one unit of increase in X?