Answer:
The correct option is;
Low
Step-by-step explanation:
Given that the P-value of the linear correlation = 0.001, we have that the P-value is a demonstration that a linear correlation that has a value in the range of the given correlation is ,most arguably very low
From the z-table, a P-value of 0.001 corresponds to a z-value of -3.09, we have that in a normal distribution since 95% of the scores have a z-score of between -2 and 2, the z-score of -3.09 is very distant from the mean and having a low value, whereby the P-value shows that the likelihood of finding another linear correlation that is as far from the mean as the given correlation is very low.
Because you are not adding the x's .When you add the coefficients, the variable comes along with it.
Answer:
C.) each treatment is thought of as a value of the explanatory variable
Step-by-step explanation:
The main purpose for using randomization in an experiment is to control the lurking variable and establish a cause and effect relationship.
If we do not control lurking, or confounding, variables, we cannot accurately establish a cause and effect relationship; this means we cannot ensure that each treatment is a value of the explanatory variable.
Answer:
-2.3
Step-by-step explanation:
