Question

The length of a snake is related to its age. The EQUATION for the Least Squares...

The length of a snake is related to its age. The EQUATION for the Least Squares Regression Line is the following

MEAN LENGTH = 15 + 10*YEARS

About how long would a snake be when it is 20 years old?

A.        Close to 120 cm

B.        Close to 25 cm

C.        Close to 400 cm

D.        Close to 220 cm

E.         NOT ENOUGH INFORMATION

Which of the following is closest to the correlation of age and length, if the R squared value of the estimated Least Squares Regression Line is .65?

A.                    0.6     

B.                    0.7     

C.                    0.8     

D.                    0.9      

E.                     0.2

What is the value of the y-intercept?

A.        y = 12             

B.        y = 15             

C.        y = 50%         

D.        y = 10

E.         Cannot be determined

Is the slope of the regression line in this problem positive or negative?

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

The EQUATION for the Least Squares Regression Line is the following

MEAN LENGTH = 15 + 10*YEARS

1) About how long would a snake be when it is 20 years old?

MEAN LENGTH = 15 + 10*YEARS

MEAN LENGTH = 15 + 10*20

Answer: Close to 120 cm

2) Which of the following is closest to the correlation of age and length, if the R squared value of the estimated Least Squares Regression Line is .65?

Correlation =   

3)   What is the value of the y-intercept?

B. y = 15

4) Is the slope of the regression line in this problem positive or negative?

Answer : positive

Slope = 10

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
In simple linear regression, the method of least squares determines the line that minimizes the sum...
In simple linear regression, the method of least squares determines the line that minimizes the sum of squared deviations between the observed y values and: a. the average of the y values b. the average of the x values c. the fitted line d. the line of residual errors
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.)
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=
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. 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=
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...
1) Given the following information, what is the least squares estimate of the y-intercept? x y...
1) Given the following information, what is the least squares estimate of the y-intercept? x y 2 50 5 70 4 75 3 80 6 94 a)3.8 b)5 c) 7.8 d) 42.6 2) A least squares regression line a) can only be determined if a good linear relationship exists between x and y. b) ensures that the predictions of y outside the range of the values of x are valid. c) implies a cause-and-effect relationship between x and y. d)...
Given the least squares regression line y with overbrace on top equals 1.30 minus 2.24 x...
Given the least squares regression line y with overbrace on top equals 1.30 minus 2.24 x which has r squared=0.7. Calculate the sample correlation coefficient r. Enter the answer in the box below, rounded to 3 decimal places. Hint: Recall that the sign of r and the sign of the slope, m, are always the same.
1. The least squares criterion, SSE, SSR, and SST In the United States, tire tread depth...
1. The least squares criterion, SSE, SSR, and SST In the United States, tire tread depth is measured in 32nds of an inch. Car tires typically start out with 10/32 to 11/32 of an inch of tread depth. In most states, a tire is legally worn out when its tread depth reaches 2/32 of an inch. A random sample of four tires provides the following data on mileage and tread depth: Tire Mileage Tread Depth (10,000 miles) (32nds of an...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT