Answer:
Regression lines can be used to predict values within the given set of data, but should not be used to make predictions for values outside the set of data. The correlation coefficient r measures the strength of the linear association between x and y.
1/8. or .125
...........................mmmmmmmm
((1+4i)/i) +(1+i)/(2+5i)
(((1+4i)*(2+5i)) +((1+i)*<span>i))/(i*(2+5i))
</span>((2 + 8i + 5i +20i²) + (1i + i²) )/ (2i + 5i<span>²)
((2 + 13i -20) + (1i -1))/(2i - 5) where </span>i<span>² = -1</span><span>
((14i - 19) +0)/2i - 5
(14i -19)/(2i - 5) </span>
Answer:
169π
Step-by-step explanation:
circle eq: (x-a)²+(y-b)²=r², where (a,b) is center and r is radius
r²=169
r = ±13
since a radius length must be positive, r = +13, not -13
A of circle: πr²
r = 13
169π
given that the circle eq has r², you could've noticed that you can take the constant in the circle eq and multiply that by π to get the same answer
