Question

The following data set shows the entrance exam score​ (Verbal GMAT) for each of eight MBA...

The following data set shows the entrance exam score​ (Verbal GMAT) for each of eight MBA students along with his or her grade point average​ (GPA) upon graduation. Calculate the slope and​ y-intercept for the linear regression equation for these data.

GMAT 320 290 270 270 340 260 290 310

GPA    3.7 2.9 3.1 3.2 3.9 2.9 3.7 3.1

Calculate the slope and​ y-intercept for the linear regression equation for these data.

y= [] + ([]) x ​(Round to three decimal places as​ needed.)

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
The following data set shows the entrance exam score​ (Verbal GMAT) for each of eight MBA...
The following data set shows the entrance exam score​ (Verbal GMAT) for each of eight MBA students along with his or her grade point average​ (GPA) upon graduation. Calculate the slope and​ y-intercept for the linear regression equation for these data. GMAT 310 290 270 270 350 280 290 290 GPA 3.7 2.9 3.1 3.2 3.9 3.1 3.6 2.9
The following data set shows the entrance exam score (Verbal GMAT) for each of eight MBA...
The following data set shows the entrance exam score (Verbal GMAT) for each of eight MBA students along with his or her grade point average (GPA) upon graduation. GMAT 300 300 250 290 350 280 300 300    GPA 3.6 2.9 3.1 3.3 3.9 3.1 3.7 2.9 A linear regression on the data gives the equation below. Complete parts a through d below. Predicted GPA equals 0.872390 plus 0.008237 left parenthesis GMAT right parenthesis partition the total sum of squares...
The following data set shows the entrance exam score​ (Verbal GMAT) for each of eight MBA...
The following data set shows the entrance exam score​ (Verbal GMAT) for each of eight MBA students along with his or her grade point average​ (GPA) upon graduation. GMAT: 300 280 270 270 360 280 290 310 GPA:     3.7   2.9   3.2   3.2    3.9   2.9    3.8   2.9 a. Calculate the SST./       SST= ___________(Round to three decimal places as​ needed.) b. Partition the total sum of squares into the SSR and SSE.    SSR=_____________ SSE= ____________. ​(Round to three decimal places as​ needed.)...
Earning power A college's job placement office collected data about students' GPAs and the salaries they...
Earning power A college's job placement office collected data about students' GPAs and the salaries they earned in their first jobs after graduation. The equation that can predict salary based on GPA was: salary=2830 + 15300(gpa) a) Use the regression equation to predict the salary of someone with a 2.9 GPA b) If an actual data point was (2.9, 46900), calculate the residual of that point. c) We don't have the data, so we can't graph and look, but we...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT