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:
2077.42
Step-by-step explanation:
There are 52 weeks in a year, so there are 26 "biweekly" weeks in a year.
Cory receieves $54013 per year, so he gets 54013 / 26 dollars biweekly.
We can compute that number, getting 2077.42 dollars.
The answer is C, mean =100 and standard deviation=15
Answer:
C
Step-by-step explanation:
a is defined first as 5. So a = 5.
b is defined after the circle b = -2
a^2 = 5^2 = 25
B^4 =(- 2)^4 = 16
Therefore sqrt(a^2 * b^4) = sqrt(25 * 16) = sqrt(400) = 20
The answer is C
Answer:
439.2 miles
Step-by-step explanation:
multiply the days she traveled to the amount of mile she traveled a day
8×59.4 =439.2 miles
