MBA5008 WEEK 4 QUIZ

A regression analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x).

n = 10

Σx = 55

Σy = 55

Σx2 = 385

Σy2 = 385

Σxy = 220

Refer to Exhibit 14-1. The point estimate of y when x = 20 is
Exhibit 14-3

Regression analysis was applied between sales data (in $1000s) and advertising data (in $100s), and the following information was obtained.

ŷ = 12 + 1.8x

n = 17

SSR = 225

SSE = 75

Sb1 = 0.2683

Refer to Exhibit 14-3. The F statistic computed from the above data is
Exhibit 15-8

The following estimated regression model was developed relating yearly income (y in $1000s) of 30 individuals with their age (x1) and their gender (x2) (0 if male and 1 if female).
ŷ = 30 + 0.7×1 + 3×2
Also provided are SST = 1200 and SSE = 384.
The model _____.

The numerical value of the coefficient of determination _____.

a. can be larger or smaller than the coefficient of correlation

b. is always larger than the coefficient of correlation

c. is negative if the coefficient of determination is negative

d. is always smaller than the coefficient of correlation

Exhibit 14-6

You are given the following information about x and y.

x

Independent Variable
y

Dependent Variable

4
12

6
  3

2
  7

4
  6

Refer to Exhibit 14-6. The least squares estimate of b1 equals _____.

a. 1

b. 11

c. –11

d. –1