Answer:
there is no any x
Step-by-step explanation:
but if you want to say -42x-3= -11
-42x-3+3= -11+3
-42x=8
-42x/-42=8/-42
x= -8/42
= -4/21
or if you want to say -42-3x= -11
-42+42-3x= -11+42
-3x= 31
-3x/-3=31/-3
x = -31/3
hope it's helpful ❤❤❤
THANK YOU❤
Answer:
Step-by-step explanation:
(6+8)*4/2 = 28
7.154 is your answer to 0.98 times 7.3
Answer:
a) Figure attached
b) If we see the scatter plot we can conclude that the possible relation between x and y is linear and with a positive correlation since when the values of x increases the values for y increases as well.
c) 
We can find the numerator like this:

And then:

d)
Step-by-step explanation:
Part a
For this part we use excel in order to create the scatterplot and we got the result on the figure attached.
Part b
If we see the scatter plot we can conclude that the possible relation between x and y is linear and with a positive correlation since when the values of x increases the values for y increases as well.
Part c
The sample covariance is defined as:

We can find the numerator like this:

And then:

Part d
The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.
And in order to calculate the correlation coefficient we can use this formula:
For our case we have this:
n=5
So then the correlation coefficient would be r =0.693
D = rt
d/r = t
d/t = r
d = tr
incorrect one is : r = t/d