Correlate the following variables- Statitics
1. Correlate the following variables (with a two-tailed test of significance): happy (1 = very unhappy, 5 = very happy), honest (1 = not honest, 5 = very honest), cheat (1 = would DEFINITELY NOT cheat, 5 = VERY LIKELY to cheat), ticket (# of traffic tickets received in the past 5 years), gpa (from 0 - 4.00), drink_typical (# of drinks you have on a typical day when you drink alcohol)
Of the variables you correlated above, select the variables that are significantly correlated with "happy" (you may select more than one variable). Note that significant = any p value less than .05. A p value of .000 in SPSS means it is smaller than .001.
A. Honest
B. Ticket
C. Cheat
D. Drinks_typical
E. GPA
2. Indicate which variables are significantly positively correlated (p value less than .05) - you may select more than one pair:
A. Happy x honest
B. Happy x cheat
C. Gpa x drinks_typical
D. Gpa x cheat
3. Indicate which variables are significantly negatively correlated (p value less than .05) - you may select more than one pair:
A. Happy x honest
B. Happy x cheat
C. Gpa x drinks_typical
D. Gpa x cheat
4. Select the conclusions we could draw based on the significant correlations you found (you may select more than one). "Significant" for this assignment is p<.05.
A. Higher levels of honesty are significantly related to increased levels of happiness (people who are honest tend to be more happy).
B. Higher levels of honesty are significantly related to decreased levels of happiness (people who are honest tend to be less happy).
C. Honesty and happiness are not significantly related.
D. A greater likelihood of cheating is significantly related to increased levels of happiness (people who cheat tend to be more happy).
E. A greater likelihood of cheating is significantly related to decreased levels of happiness (people who cheat tend to be less happy).
F. Cheating and happiness are not significantly related.
G. Higher levels of honesty are significantly related to decreased numbers of traffic tickets (people who are honest tend to get fewer tickets).
H. Higher levels of drinking are significantly related to decreased GPA (people who drink more tend to have lower GPA).
I. Higher levels of drinking are significantly related to an increase in traffic tickets received (people who drink more tend to get more traffic tickets).
J. Higher levels of drinking are significantly related to a decrease in traffic tickets received (people who drink more tend to get fewer traffic tickets).
K. A high likelihood of cheating is significantly related to a higher GPA (people who cheat more tend to have a higher GPA).
L. High liklihood of cheating is significantly related to a lower GPA (people who cheat more tend to have a lower GPA).
5. Let's practice interpreting the strength of a relationship - read your book carefully to learn about how we can determine how strong (or weakly) variables are correlated. What could we potentially say about the strength of the relationship between GPA and alcohol use on a given day (variable = "drink_typical")?
A. Let's practice interpreting the strength of a relationship - read your book carefully to learn about how we can determine how strong (or weakly) variables are correlated. What could we potentially say about the strength of the relationship between GPA and alcohol use on a given day (variable = "drink_typical")?
B. 5% of the variation in grades is explained by the number of drinks a student has on a typical day of drinking.
C. 40% of the variation in grades is explained by he number of drinks a student has on a typical day of drinking.
1.
Correlate the following variables (with a two
-
tailed test of significance):
happy
(1 = very unhappy,
5 = very happy)
, honest
(1 = not honest, 5 = very honest)
, cheat
(1 = would DEFINITELY NOT
cheat, 5 = VERY LIKELY to cheat)
, ticket
(# of traffic tickets received in the past 5 years)
, gpa
(from 0
-
4.00)
, drink_typical
(# of drinks you have on a typical day when you drink alcohol)
Of the variables you correlated above, select the variables that are significantly
correlated with "happy"
(you may select more than one variable).
Note that significant =
any p value less than .05.
A p value of .000 in SPSS means it is smaller than .001
.
A.
H
onest
B.
T
icket
C.
C
heat
D.
D
rinks_
typical
E.
GPA
2.
Indicate which variables are
significantly
positively
correlated (p value less than .05)
-
you may
select more than one pair:
A.
H
appy
x honest
B.
H
appy
x cheat
C.
G
pa
x drinks_typical
D.
G
pa
x cheat
3.
Indicate which variables are
significantly
negatively
correlated (p value less than .05)
-
you may
select more than one pair:
A.
H
appy
x honest
B.
H
appy
x cheat
C.
G
pa
x drinks_typical
D.
G
pa
x cheat
4.
Select the conclusions we could draw based on the significant correlations you found (you may
select more than one). "Significant" for this assignment is p<.05.
A.
Higher levels of
honesty are significantly related to increased levels of happiness (people who are
honest tend to be more happy).
B.
Higher levels of honesty are significantly related to decreased levels of happiness (people who are
honest tend to be less happy).
C.
Honesty and happiness are not significantly related.
D.
A greater likelihood of cheating is significantly related to increased levels of happiness (people who
cheat tend to be more happy).
E.
A greater likelihood of cheating is significantly related to decreased levels of happiness (people who
cheat tend to be less happy).
F.
Cheating and happiness are not significantly related.
G.
Higher levels of honesty are significantly related to decreased numbers of traffic tickets (people who
are honest tend to get fewer tickets).
H.
Higher levels of drinking are significantly related to decreased GPA (people who drink more tend to
have lower GPA).
I.
Higher levels of drinking are significantly related to an increase in traffic tickets received (people
who drink more tend to get more traffic tickets).
J.
Higher levels of drinking are significantly related to a decrease in traffic tickets received (people who
drink more tend to get fewer traffic tickets).
1. Correlate the following variables (with a two-tailed test of significance): happy (1 = very unhappy,
5 = very happy), honest (1 = not honest, 5 = very honest), cheat (1 = would DEFINITELY NOT
cheat, 5 = VERY LIKELY to cheat), ticket (# of traffic tickets received in the past 5 years), gpa
(from 0 - 4.00), drink_typical (# of drinks you have on a typical day when you drink alcohol)
Of the variables you correlated above, select the variables that are significantly
correlated with "happy" (you may select more than one variable). Note that significant =
any p value less than .05. A p value of .000 in SPSS means it is smaller than .001.
A. Honest
B. Ticket
C. Cheat
D. Drinks_typical
E. GPA
2. Indicate which variables are significantly positively correlated (p value less than .05) - you may
select more than one pair:
A. Happy x honest
B. Happy x cheat
C. Gpa x drinks_typical
D. Gpa x cheat
3. Indicate which variables are significantly negatively correlated (p value less than .05) - you may
select more than one pair:
A. Happy x honest
B. Happy x cheat
C. Gpa x drinks_typical
D. Gpa x cheat
4. Select the conclusions we could draw based on the significant correlations you found (you may
select more than one). "Significant" for this assignment is p<.05.
A. Higher levels of honesty are significantly related to increased levels of happiness (people who are
honest tend to be more happy).
B. Higher levels of honesty are significantly related to decreased levels of happiness (people who are
honest tend to be less happy).
C. Honesty and happiness are not significantly related.
D. A greater likelihood of cheating is significantly related to increased levels of happiness (people who
cheat tend to be more happy).
E. A greater likelihood of cheating is significantly related to decreased levels of happiness (people who
cheat tend to be less happy).
F. Cheating and happiness are not significantly related.
G. Higher levels of honesty are significantly related to decreased numbers of traffic tickets (people who
are honest tend to get fewer tickets).
H. Higher levels of drinking are significantly related to decreased GPA (people who drink more tend to
have lower GPA).
I. Higher levels of drinking are significantly related to an increase in traffic tickets received (people
who drink more tend to get more traffic tickets).
J. Higher levels of drinking are significantly related to a decrease in traffic tickets received (people who
drink more tend to get fewer traffic tickets).