Question

The correlation coefficient (r) for 19 pairs of data was calculated to be 0.510. Using s =.05 and Table I, do we conclude that there is a significant relationship between the variables?

A contingency table with 3 rows and columns would have how many degrees of freedom?

( T / F ) If a correlation coefficient is negative, this indicates there is no relationship between the variables.

( T / F ) The Chi-Square distribution can be used to test hypotheses concerning homogeneity of proportions.

Answer #1

1) r=0.510

n=no. Of pairs= 19

Then degrees of freedom= 19-2=17

r table value at 0.05 with degree of freedom 17 is 0.456.

Since, 0.510 is greater than 0.456 so r is significant.

Hence,we can conclude there is significant relationship between the variables.

2) A contingency table with three rows and columns have degrees of freedom: (3-1)*(3-1)=4.

3) if a correlation coefficient is negative this indicates there is no relationship between the variables - is false.

4)the chi-square distribution can be used to test the hypotheses concerning homogeneity of proportions - is true.

The correlation coefficient (r) for 19 pairs of data was
calculated to be 0.510. Using s =.05 and Table I, do we conclude
that there is a significant relationship between the variables?
(there is no table)

4. You have calculated a correlation coefficient r = -0.98 for a
set of data. What does this tell you about the relationship between
the variables? which of the given option is correct
a) Strong, direct correlation
b) Weak, direct correlation
c) Strong, inverse correlation
d) Weak, inverse correlation

Do a Hypothesis Test for the Correlation Coefficient ,r, that
you calculated in the previous HW problem, Correlation(Part 1)
.
Assume that you want to test for a positive correlation. Let
α,your level of significance ,be .05.The number of observations, n,
is 5.Use n-2 degrees of freedom. Do you reject or do not reject
H0 ?
You need to do the 6 steps for the Neymann-Pearson critical
value test.You do not need to do a Fisher p-value test for the...

Answer each of the following as True or False:
In a linear correlation testing, any positive value for the
linear correlation coefficient (r) statistic always indicates a
positive correlation between the two variables.
The chi-square test for independence is similar to a
correlation in that it evaluates the relationship between two
variables.
It is impossible to obtain a value less than zero for the
chi-square statistic, unless a mistake is made.
In a two-sample t-test, it makes a difference which...

Which of the following statements are true of correlation
coefficients?
Group of answer choices
The more negative the number is, the weaker the
relationship.
A correlation coefficient of -0.90 indicates that there is an
inconsistent relationship between the variables.
The closer the coefficient is to 1 or -1, the weaker the
relationship.
A correlation coefficient of 0.05 indicates that there is an
inconsistent relationship between the variables.
Which type of analysis is more flexible than an
independent-samples t-test and allows...

The P-value for a chi-square test is always one-tailed. This is
true because of all of the following reasons, EXCEPT:
Group of answer choices
Observed data that is either higher or lower than the null
hypothesis predicts will result in a positive chi-square value.
Only a large positive value of chi-square provides
stronger evidence to conclude HA.
A chi-square distribution is skewed.
The chi-square statistic is always positive, unlike a z
or t statistic which can be ether positive or...

1. In a correlation analysis, you calculate an R value of
-0.006. You run a significance test and find that this result is
not significant. Which of the following BEST describes the
relationship between the two variables?
a.
there is a weak, negative relationship between the
variables
b.
there is a logarithmic relationship between the variables
c.
there is a strong, negative relationship between the
variables
d.
there is basically no relationship between the variables
2. Correlation and regression are...

A study was done to investigate whether a relationship existed
between HPV (human papillomavirus) status and HIV infection status.
HPV status and HIV infection status were obtained for 97 women.
Table of hpv by hiv
hpv
hiv
Frequency
Expected
Row Pct
Seropositive/Symptomatic
Seropositive/Asymptomatic
Seronegative
Total
Positive
23
12.928
60.53
5
7.4433
13.16
10
17.629
26.32
38
Negative
10
20.072
16.95
14
11.557
23.73
35
27.371
59.32
59
Total
33
19
45
97
Statistic
DF
Value
Prob
Chi-Square
2
19.6478
<.0001...

Model Summary
S
R-sq
R-sq(adj)
6.75912
84.14%
82.70%
Analysis of Variance
Source
DF
SS
MS
F
P
Regression
1
2666.38
2666.38
58.36
0.000
Error
11
502.54
45.69
Total
12
3168.92
Correlations
Age (in
years)
Annual salaries (in thousands)
0.917
What is the Correlation Coefficient?
Does the Correlation Coefficient justify your answer to #4 or
would you now change your answer? Why or why not? What does the
Correlation Coefficient tell you about the direction and strength
of the relationship between...

Model Summary
S
R-sq
R-sq(adj)
1.65820
69.11%
66.02%
Analysis of Variance
Source
DF
SS
MS
F
P
Regression
1
61.5038
61.5038
22.37
0.001
Error
10
27.4962
2.7496
Total
11
89.0000
Under the pasted Model Summary and Analysis of Variance in Word
answer the following questions:
What is the Correlation Coefficient?
Does the Correlation Coefficient justify your answer to #14 or
would you now change your answer? Why or why not? What does the
Correlation Coefficient tell you about the direction...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 26 minutes ago

asked 27 minutes ago

asked 29 minutes ago

asked 43 minutes ago

asked 49 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 2 hours ago

asked 2 hours ago

asked 2 hours ago