<span>A correlation is when two or more variables are related in some way.</span>
Correlation requires that pairs of points be available for each set of values of each variable.
Often in the case of two variables one may arbitrarily labeled each variable X and Y.
<span>Often the X variable represents the input variable or independent variable, that is, the variable being used to predict the </span>
<span>other variable. Y often represents the output variable or the dependent variable and it is the variable being predicted.</span>
<span>A linear correlation is when two are more variables are related linearly, i.e. A scattered plot of the data would tend to cluster</span>
around a straight non horizontal line.<span> Figure 3.1</span><span> shows a scattered plot of two linearly correlated variables.</span>
Answer: Option 'c' is correct.
Step-by-step explanation:
Since we have given that
Number of times the spinner spun = 75
Outcomes Frequency
A 20
B 11
C 14
D 30
We need to find the experimental probability of spinning an "A" :
so, Probability of spinning an A is given by
Probability of getting an A is 0.27.
Hence, Option 'c' is correct
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1.5 because 5 goes into 7 one time then u subtract 7 - 5 wich is 2 so u bring that down then the 5 from 7.5 goes down wich forms 25 and 25 ÷ 5 = 5 so the final results r 1.5 :) :) :) :)
Answer:
X = -7 and y = -7.5
Step-by-step explanation:
Use substitution. Let’s try to get x by itself in the second question since it seems easier.
-4x + 4y = -2
-4x = -2 -4y
x = 1/2 + y
Subsitute that into the other equation for y.
4x -2y = -13
4(1/2 + y) - 2y = -13
2 + 4y -2y = -13 # Use the distributive property
2y = -15 # put together like terms
y = -7.5
Then plug it into the x formula
x = .5 -7.5
x = -7
Answer:
the expression is written as 
Step-by-step explanation:
