Question

Consider the following information: r = 0.50, MX = 8, SDX= 2, MY = 3, SDY=...

Consider the following information: r = 0.50, MX = 8, SDX= 2, MY = 3, SDY= 1. What is the corresponding simple linear regression equation?

Group of answer choices

Ŷ = 1.5 + 1.5X

Ŷ = 2 - 0.5X

Ŷ = -1 + 2X

Ŷ = 1 + 0.25X

None of the above

0 0
Add a comment Improve this question Transcribed image text
Answer #1

Consider the following information: r = 0.50, MX = 8, SDX = 2, MY = 3, SDY = 1.

Therefore, Ŷ = 1 + 0.25X.

Option D is the correct answer.

Add a comment
Know the answer?
Add Answer to:
Consider the following information: r = 0.50, MX = 8, SDX= 2, MY = 3, SDY=...
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • Consider the following information about variable X: Mean = 4, standard deviation = 2. Consider the...

    Consider the following information about variable X: Mean = 4, standard deviation = 2. Consider the following information about variable Y: Mean = 5, standard deviation = 3. If there is a correlation of r = 0.52 between variable X and variable Y, what is the intercept for a simple linear regression equation predicting Y on the basis of X? Please provide your answer as a raw score (not a z score) with a minimum of two decimal places.

  • QUESTION 1 Consider the following OLS regression line (or sample regression function): wage =-2.10+ 0.50 educ...

    QUESTION 1 Consider the following OLS regression line (or sample regression function): wage =-2.10+ 0.50 educ (1), where wage is hourly wage, measured in dollars, and educ years of formal education. According to (1), a person with no education has a predicted hourly wage of [wagehat] dollars. (NOTE: Write your answer in number format, with 2 decimal places of precision level; do not write your answer as a fraction. Add a leading minus sign symbol, a leading zero and trailing...

  • #1 In simple linear regression, r is the: a) coefficient of determination. b) mean square error.    ...

    #1 In simple linear regression, r is the: a) coefficient of determination. b) mean square error.     c) correlation coefficient. d) squared residual. #2 In regression analysis, with the model in the form y = β0 + β1x + ε, x is the a) estimated regression equation. b) y-intercept. c) slope. d) independent variable. #3 A regression analysis between sales (y in $1,000s) and advertising (x in dollars) resulted in the following equation. ŷ = 40,000 + 3x The above equation...

  • The following information applies to Problems 14-21. Sup pose an experiment yielded Y values of 1,...

    The following information applies to Problems 14-21. Sup pose an experiment yielded Y values of 1, 3, and 2 when the independent variable X was set to 1, 2, and 3, respectively. 14. Determine the correlation coefficient for these data (E) None of these (A) -0.5 (B) -0.25 (C) 0.25 (D) 0.5 15. Which of the following is an equation of the least-squares regression line? (A) y = 2 (B) y = x (C) y = 1 + 0.5x (D)...

  • CO 3) Using the following information regarding actual sales for Seafood City, project sales for Friday of Week 3 using...

    CO 3) Using the following information regarding actual sales for Seafood City, project sales for Friday of Week 3 using simple linear regression. Sales for Seafood City ($) Day Week 1 Week 2 Monday 1,700 1,800 Tuesday 1,900 2,000 Wednesday 2,100 2,100 Thursday 2,300 2,200 Friday 4,200 4,300 Saturday 4,400 4,600 Sunday 2,100 2,200 Group of answer choices 3,731.87 3,567.91 3,076.04 3,649.89

  • please ignore my writing r+y+2z = 1 2x +3y +3: r+ py +32 2 Problem 2....

    please ignore my writing r+y+2z = 1 2x +3y +3: r+ py +32 2 Problem 2. (10 pts) Find all values of the scalars p, q E R for which the linear system is consistent SE8-8339 21 not REF o1 O p-I 3 9 P AN

  • 1. Consider the following simple regression model: y = β0 + β1x1 + u (1) and...

    1. Consider the following simple regression model: y = β0 + β1x1 + u (1) and the following multiple regression model: y = β0 + β1x1 + β2x2 + u (2), where x1 is the variable of primary interest to explain y. Which of the following statements is correct? a. When drawing ceteris paribus conclusions about how x1 affects y, with model (1), we must assume that x2, and all other factors contained in u, are uncorrelated with x1. b....

  • Consider the following data: x : -7, -5, -1, 0, 2, 5, 6, .y: 15, 12...

    Consider the following data: x : -7, -5, -1, 0, 2, 5, 6, .y: 15, 12 ,5, 2, 0, -5, -9. Using linear regression find the equation in the form y=mx+b.  b) Check your results for the coefficients in the trial function using a built-in function in Matlab, Python, or Mathematica. c) Plot the data points as dots and the best-fit line as a solid line on the same figure.

  • Solving (c) would be enough! Thanks a lot! LO LART! 2. (No R required) The director...

    Solving (c) would be enough! Thanks a lot! LO LART! 2. (No R required) The director of admissions of a small college selected 120 students at random from the new freshman class in a study to determine whether a student's grade point average (GPA) at the end of the freshman year (y) can be predicted from the ACT test score (x). The director fitted a simple linear regression E(GPA|ACT) = Bo + B1ACT. A lack of fit test was carried...

  • Engineering Mathematics 1 Page 3 of 10 2. Consider the nonhomogeneous ordinary differential equation ry" 2(r...

    Engineering Mathematics 1 Page 3 of 10 2. Consider the nonhomogeneous ordinary differential equation ry" 2(r (x - 2)y 1, (2) r> 0. (a) Use the substitution y(x) = u(x)/x to show that the associated homogeneous equation ry" 2(r (x - 2)y 0 transforms into a linear constant-coefficient ODE for u(r) (b) Solve the linear constant-coefficient ODE obtained in Part (a) for u(x). Hence show that yeand y2= are solutions of the associated homogeneous ODE of equation (2). (c) Use...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT