Question

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.)

Answer #1

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 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 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 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...

Applications I
Consider the following data representing the total time (in hours)
a student spent on reviewing for the Stat final exam and the actual
score on the final. The sample of 10 students was taken from a
class and the following answers were reported.
time score
0 23
4 30
5 32
7 50
8 45
10 55
12 60
15 70
18 80
20 100
Part 1: Use the formulas provided on the 3rd formula sheet to
compute...

I. Solve the following problem:
For the following data:
1, 1, 2, 2, 3, 3, 3, 3, 4, 4, 5, 6 n = 12
b) Calculate
1) the average or average
2) quartile-1
3) quartile-2 or medium
4) quartile-3
5) Draw box diagram (Box & Wisker)
II. PROBABILITY
1. Answer the questions using the following
contingency table, which collects the results of a study to 400
customers of a store where you want to analyze the payment
method.
_______B__________BC_____
A...

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