Answer:
Option b) r = 0.70
Step-by-step explanation:
We are given the following in he question:
Variables:
x = the number of hours spent studying for a test
y = the number of points earned on the test
- Correlation is a technique that help us to find or define a relationship between two variables.
- A positive correlation means that an increase in one quantity leads to an increase in another quantity
- A negative correlation means with increase in one quantity the other quantity decreases.
- +1 tells about a a perfect positive linear relationship and −1 indicates a perfect negative linear relationship.
- Values between 0 and 0.3 tells about a weak positive linear relationship, values between 0.3 and 0.7 shows a moderate positive correlation and a correlation of 0.7 and 1.0 states a strong positive linear relationship.
- Values between 0 and -0.3 tells about a weak negative linear relationship, values between -0.3 and -0.7 shows a moderate negative correlation and a correlation value of of -0.7 and -1.0 states a strong negative linear relationship.
As the number of hours increases, the number of points earned on the test increases. Thus, the two variables are positively correlated.
Thus, the coefficient correlation between two variables can be given by r = 0.70, that shows a moderate positive correlation.
Option b) r = 0.70
Answer:
Based on this report, you can conclude that a total of ___11__ individuals participated in the research study .
Step-by-step explanation:
Given that a research report describing the results from a repeated-measures study states:
The data show no significant difference between the two treatments, t(10) = 1.65, p > .05.
Since t(10) is given, we can conclude that degrees of freedo is 10
Hence sample size is 10+1 =11
Based on this report, you can conclude that a total of ___11__ individuals participated in the research study .
When you round 9.55555 to the nearest hundredth you would get 9.56 which you would then round to 10