Statistics
Multiple R
0.865
R Square
0.748
Adjusted R
Square
0.726
Standard
Error
5.195
Observations 50
ANOVA
df
SS
MS
F
Signif
F
Regression
3605.7736 901.4434 0.0001
Residual
1214.2264 26.9828
Total
49 4820.0000
Coeff StdError
t Stat
P
value
Intercept

1.6335
5.8078
0.281 0.7798
Income
0.4485 0.1137
3.9545 0.0003
Size
4.2615 0.8062
5.286 0.0001
School

0.6517
0.4319
1.509 0.1383
Referring to Table 144, one individual in the sample had an annual income of
$10,000, a family size of 1, and an education of 8 years. This individual owned
a home with an area of 1,000 square feet (House = 10.00). What is the residual
(in hundreds of square feet) for this data point?
Selected Answer:
a. 8.10
Question 48
2 out of 2 points
If the
p
value is less than α in a two
tailed test,
Selected Answer:
b. the null hypothesis should be rejected.
Question 49
0 out of 2 points
The sample correlation coefficient between X and Y is 0.375. It has been found
out that the
p
value is 0.256 when testing
H
0
: ρ =
0 against the twosided
alternative
H
1
: ρ ≠ 0. To test
H
0
: ρ = 0 against the one
sided alternative
H
1
: ρ >
0 at a significance level of 0.193, the
p
value is
Selected Answer:
d. 1  0.256/2
Question 50
2 out of 2 points
In testing for differences between the means of 2 independent populations, the
null hypothesis is:
Selected Answer:
b.
H
0
: μ1

μ2 = 0.
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 Fall '15
 Statistics, Final Paper For 1 To 5, Statistical hypothesis testing, average time