I have got 24 subjects I did a correlation stats on them to to find out if there is a correlation between the time spent doing online research compatred to off line research i hypothes that the more online research that is done the less off line reserch will be don. In doing the correlation I got this figure-0.117967285 I did a scattergram and it produced a line going from left down to right. My problem is i don't know if this is a correlation that is positive or negative. Now I have the minus number above I am not sure how to do someting clled a pearson's r to get a significance level of P 0.5 and once i have this P how do i express this with my minus figure above is this all you do to get a correlation and your significance wanrranted?? Pls help I encloe mey data

I have got 24 subjects I did a correlation stats on them to to find out if there is a correlation between the time spent doing online research compatred to off line research i hypothes that the more online research that is done the less off line reserch will be don. In doing the correlation I got this figure-0.117967285 I did a scattergram and it produced a line going from left down to right. My problem is i don't know if this is a correlation that is positive or negative. Now I have the minus number above I am not sure how to do someting clled a pearson's r to get a significance level of P 0.5 and once i have this P how do i express this with my minus figure above is this all you do to get a correlation and your significance wanrranted?? ...

Solution Summary

The correlation and significant level steps are found. Correlation statistics are found. Significance is warranted.

a) Given the equation: (See attached), what is the calculated t-statistic and is it significant at the 5 percent level? (Hint: Apply 2 rules)
b) Calculate the coefficient of correlation from the information in (a). Write the H_o and H_a. Then, make a decision about the significance of the coefficient of correlation.
c) Wha

Size of Data Set: 100
Regression equation/line: Y=11.20816-0.1098466x
Slope is -0.1098466
The y-intecept is 11.20816
Sum of Regression Bar Errors^2=16.6051535247
Sum of YBar Errors=188.830557742
R/correlation coefficient: -0.955020
R^2/coefficient of determination:= 0.912063
X and Y values from the Scatter Plot Points

Given the following information, use Table B.4, which is; values of the correlation coefficient needed for rejection of the null hypothesis. I'm certain you have access to said table. Use the table to determine whether the correlations are significantand how you would interpret the results.
The correlation between speed and

From a table provided in the attached document, determine if any of the 4 correlations are significant? If any, how should I interpret the significantcorrelation? What would be a good explanation for the relationship?

A study was conducted with alpha = 0.05 to determine if there is a significant linear correlation between the number of credit hours earned at the time of taking statistics 101 and the grade in the course. Eight pairs of data were collected.
The linear correlation coefficient is y = 0.6777
Pick the correct answer
a. T

6. a. Compute the correlation between age in months and number of words known.
b. Test for the significance of the correlation at the .05 level of significance.
c. Interpret this correlation.
(see attached file for data)

QUESTIONS:
(a) How does correlation analysis differ from regression analysis?
(b) What does a correlation coefficient reveal?
(c) State the quick rule for a significantcorrelationand explain its limitations.
(d) What sums are needed to calculate a correlation coefficient?
(e) What are the two ways of testing a correlati

Although the phenomenon is not well understood, it appears that people born during the winter months are slightly more likely to develop schizophrenia than people born at other times. The following hypothetical data represent a sample of 50 individuals diagnosed with schizophrenia and a sample of 100 people with no psychotic dia

Given that two variables have a correlation coefficient of 0.70, use the formula for the t test for the Correlation Coefficient to determine if the correlation coefficient is significant. Assume a sample size of 17 and alpha =0.05. Show all steps.

Use the following situation to answer questions 14 to 18 below:
A meteorologist wants to see if there is a relationship between the number of toronados that occur each year and the number of deaths attributed to the tornadoes. The data are shown for 10 recent years. The number of tornados is represented by x, and the numb