The data points are a little closer for a weak correlation, and you can see that there is some sort of relationship between these factors.
Data points for a strong correlation are in close proximity to one another, making it possible to build a line by imitating their pattern.
A statistic called correlation gauges how much two variables change in connection to one another.
Correlation and diversification, the idea that certain types of risk can be reduced by investing in assets that are not connected, are closely related concepts.
Correlation cannot determine whether x causes y or vice versa, or whether a third component is responsible for the association.
A scatter plot may make it easier to spot correlation, particularly when the variables have a non-linear but nevertheless significant association.
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Answer:
y= -3 + 2x/3
Step-by-step explanation:
move all terms that dont contain y to the right side and solve
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Answer:
A) probability that at least x of them will require repairs is less than 0.5 is 4
Step-by-step explanation:
sample size, n = 20
p = success probability of toaster = 0.2
q = failure probability of toaster =1- p = 1- 0.2 =0.8
mean, , μ = n * p = 20 * 0.2 = 4
standard deviation, 
a) the probability that at least some of them require repairs < 0.5.
for 
value of z = 0
we know 
from z table
X = 4
B) SECOND PART IS INCOMPLETE { DATA IS INCOMPLETE}
Answer: 2/3 multiply that by 15 and you get 30/3 witch simplified is 10
Step-by-step explanation:
