Answer:
gfhcfgjcfgjdfgjvhjvhkftfhcyjftyjvjftykftyvgjcgjfyfg gjvvgvggvgvhjvhvg
Step-by-step explanation:
vgjkcgyjvghj vhjvjvhvhjvhjvghjghjvghjvhjhvgghvghvhvhvhvhjvghjvghjvh .jvghvghj gj vjvhjvhjv .v .hvhjvhjvhvb vh vv bhjvb f
Answer:
x=22/p
Step-by-step explanation:
1. Add 18 to 4
2. px=22
3. Divide by p to isolate x
4. 22/p=x
P = ( 2 / 3 )s;
s = ( 3 / 5 )t ;
p + s + t = 280 ;
Then, p =( 2 / 3 )( 3 / 5 )t ;
p = ( 2 / 5 )t;
We solve the equation : ( 2 / 5 )t + ( 3 / 5 )t + t = 280 ;
( 2 / 5 )t + ( 3 / 5 )t + ( 5 / 5 )t = ( 1400 / 5 )t;
10t = 1400 ;
t = 1400 ÷ 10 ;
t = 140 postcards has Tim;
p = ( 2 / 5 ) × 140 = 56 postcards has Paul;
s = ( 3 / 5 ) × 140 = 84 postcards has Shawn ;
Answer:
$4.93 cents so round it to $5.00
Step-by-step explanation:
Answer:
Step-by-step explanation:
Correlation measures the strength of the linear relationship between two variables.
A linear relationship exists between two variables if one variable increases as the other increases or decreases.
Use the formula for correlation coefficient to determine the strength of the relationship.
Correlation coefficient, r is equal to the sum of squares of xy divided by the product of the square root of the sum of squares of xx and xy.
The sample correlation coefficient r measures the strength of the linear relationship and has the following properties:
-1≤r≤1; the closer the value is to −1 or 1, the stronger the linear relationship
– If r is negative, this indicates that as one variable is increasing, the other is decreasing
– If r is positive, this indicates that both variables are increasing or both variables are decreasing
If r = 0, then there is no linear relationship between the two variables
