Question

Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05. r = 0.105, n = 15

Answer #1

Given the linear correlation coefficient r and the sample size
n, determine the critical values of r and use your finding to state
whether or not the given r represents a significant linear
correlation. Use a significance level of 0.05. r = 0.105, n =
15

Given the linear correlation coefficient r and the sample size
n, determine the critical values of r and use your finding to state
whether or not the given r represents a significant linear
correlation. Use a significance level of 0.05. r = 0.353, n =
15

Given the linear correlation coefficient r and the sample size
n, determine the critical values of r and use your finding to
state whether or not the given r represents a significant linear
correlation. Use a significance level of 0.05. r=0.543, n=25.
please help

Given the linear correlation coefficient r and the sample size
n, determine the critical values of r and use your finding to
state whether or not the given r represents a significant linear
correlation. Use a significance level of 0.05. r=−0.816, n=5
A.Critical values: r=plus or minus±0.950, no significant
linear correlation
B.Critical values: r=plus or minus±0.878, significant linear
correlation
C.Critical values: r=0.950, significant linear correlation
D.Critical values: r=plus or minus±0.878, no significant
linear correlation

(a) Suppose n = 6 and the sample correlation coefficient is r =
0.908. Is r significant at the 1% level of significance (based on a
two-tailed test)? (Round your answers to three decimal places.) t =
critical t =
(b) Suppose n = 10 and the sample correlation coefficient is r =
0.908. Is r significant at the 1% level of significance (based on a
two-tailed test)? (Round your answers to three decimal places.) t =
critical t =

(a) Suppose n = 6 and the sample correlation
coefficient is r = 0.894. Is r significant at the
1% level of significance (based on a two-tailed test)? (Round your
answers to three decimal places.)
t
=
critical t
=
Conclusion:
Yes, the correlation coefficient ρ is significantly
different from 0 at the 0.01 level of significance.
No, the correlation coefficient ρ is not significantly
different from 0 at the 0.01 level of
significance.
(b) Suppose n = 10 and...

Use a scatterplot and the linear correlation coefficient r to
determine whether there is a correlation between the two variables.
Use alphaequals0.05. x 2 4 7 1 6 y 5 8 12 3 11 Click here to view a
table of critical values for the correlation coefficient.
LOADING... Does the given scatterplot suggest that there is a
linear correlation? A. Yes, because the data does not follow a
straight line. B. No, because the data follows a straight line. C....

Test for evidence of a linear association using the sample
correlation r=0.68 and the sample size n=10.
State the null and alternative hypotheses.
Find the test statistic.
Round your answer to two decimal places.
t= Enter your answer; t
Find the p-value.
Round your answer to three decimal places.
The p-value is Enter your answer; p-value .
What is the conclusion, using a 5% significance level?
Choose the answer from the menu; What is the conclusion, using a...

In this problem, we use your critical values table to explore
the significance of r based on different sample sizes. (a) Is a
sample correlation coefficient ρ = 0.84 significant at the α = 0.01
level based on a sample size of n = 5 data pairs? What about n = 11
data pairs? (Select all that apply.) Yes, because the absolute
value of the given correlation coefficient is greater than or equal
to that for a sample size of...

Test for a negative correlation using the sample correlation
r=-0.39 and the sample size n=18.
State the null and alternative hypotheses.
Find the test statistic.
Round your answer to two decimal places.
t=
Find the p-value.
Round your answer to three decimal places.
The p-value is .
What is the conclusion, using a 5% significance level?
...

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