Hey there!!
Multiply both the sides with 4/3.
Then we get
x = 5 ^ 4/3
x = 8.5 ( avg. )
Hope it helps!
Answer:
Population of mosquitoes in the area at any time t is:

Step-by-step explanation:
assume population at any time t = P(t)
population increases at a rate proportional to the current population:
⇒dP/dt ∝ P
----(1)
where k is constant rate at which population is doubled
solving (1)

---- (2)
initial population = 400,000
population is doubled every week
⇒P(1)=2P(0)
Using (2)


In presence of predators amount is decreased by 50,000 per day
Then amount decreased per week = 350,000
In this case (1) becomes
---(3)
solving (3) by calculating integrating factor

Multiplying I.F with all terms of (3)

Integrating w.r.to t




at t=0



So, population of mosquitoes in the area at any time t is

Slope of required equation = slope of given line = -3( since both lines are parallel). By slope point form, y - y1 = m( x - x1). y-2 = -3(x-(-3)). y-2 = -3x - 9. y = -3x - 7. Required equation is y= -3x - 7.
Step-by-step explanation:
Hypothesis - Statement following the word 'Íf'
Conclusion - Statement after the word 'Then'
26. If you are a basketball player, then you are at least 5’9” tall.
Hypothesis - If you are a basketball player
Conclusion - then you are at least 5’9” tall.
27. If three points lie on a line, then they are collinear.
Hypothesis - If three points lie on a line
Conclusion - then they are collinear.
28. If you are 13 years old, then you are a teenager.
Hypothesis - If you are 13 years old
Conclusion - then you are a teenager.
29. 9x=36 implies x=4.
Hypothesis - 9x=36
Conclusion - x=4
30. A =+~ B only if mA =+~mB
Hypothesis - if mA =+~mB
Conclusion - A =+~ B
Answer:
a. the line that passes through the most data points.
Step-by-step explanation:
Regression analysis, is used to draw the line of‘ best fit’ through co-ordinates on a graph. The techniques used enable a mathematical equation of the straight line form y=mx+c to be deduced for a given set of co-ordinate values, the line being such that the sum of the deviations of the co-ordinate values from the line is a minimum, i.e.
The least-squares regression lines is the line of best fit