Answer: strong positive correlafion between data plan size 'x' and number of text messages sent 'y'
Step-by-step explanation:
'R' in statistics is used to denote correlation Coefficient. The correlation Coefficient is a value which ranges between -1 to +1. It tells us the level of relationship or correlation which exists between the relative movement of two variables, in this case the relationship between data plan size and the number of text messages sent in the US. R value of 0 depicts that no relationship exists between the two variables, R value closer the R value is to +1 and - 1 depicts the strength of positive and negative correlation of the two variables respectively.
A R value of +0.97 in the context above, depicts a strong positive correlation between data plan size and number of text messages sent in the US. That is large data size usually corresponds to large number of text messages and vice versa.
Answer:
5x+2=0
Step-by-step explanation:
When factoring you add or subtract your factors that are similar.
For example 9x-4x+ 5x
and this is how you get 5x+2=0
Any Questions?
Answer:
He could increase the sample size
Step-by-step explanation:
In hypothesis testing, the error associated with the test is affected by a number of factors. The first factor is the level of significance, alpha. This is the probability of type 1 error. The probability of rejecting the null hypothesis when it is indeed true.
The second factor is the size of the sample used. The larger the sample, the smaller the error since the characteristics of the sample will be closer to those of the entire population on which inference is being made
If you do the distance formula you get 13 as the answer.
Answer:
Step-by-step explanation:
In this question, you are solving for n.
Solve:
−2p + 6n = 5
We have to get "n" by itself, so add 2p to both sides.
6n = 2p + 5
Since the variable "n" has a number next to it, we have to get rid of that number in order to get our answer.
To do so, we would divide both sides by 6.
Simplify the equation further.
