Isosceles triangle: is or can be drawn in different ways
Equilateral triangle: all sides are equal
Scalene triangle:none of its sides are equal in length
Answer:
Step-by-step explanation:
Hello!
You have da data for the variables:
X: Number of the day after the opening of Jackson's business.
Y: Number of personal recommendations given by customers of Jackson's business.
Since Jackson's business relies on his customers for advertisement, it is to be expected that the more it is recommended, the more will the business grow.
If this is so then as time passes by, the number of customers and recommendations should increase.
I've made a scatterplot between the two variables, see attachment.
As shown in the scatterplot it seems to be a positive association between these two variables, meaning, when the days pass by, the number of personal recommendations increases.
I hope this helps!
Answer:
x=24, y = 33/360 π×24^2/(sin^2(33° (degrees)))
Step-by-step explanation:
notice that x = MK = HM = 24.
Let the center of the circle be C.
Also, notice the radius of the circle can be expressed as the hypotenuse of HMC. Using some trig, we figure out that the radius is 24/sin(33 degrees).
Using the radius of the circle, we can figure out the circumference. The circumference is pi*r^2=(24/sin(33 degrees))^2*pi=pi*24^2/(sin(33 degrees)^2)
Lastly, notice that y = 33/360*circumference = 33/360 π×24^2/(sin^2(33° (degrees)))
hopefully this helped
Answer: They are diffrent
Step-by-step explanation: The logistic equation was first published by Pierre Verhulst in 1845. This differential equation can be coupled with the initial condition P(0) = P0 to form an initial-value problem for P(t). Suppose that the initial population is small relative to the carrying capacity. Then P K is small, possibly close to zero.
The logistic regression coefficients are the coefficients b 0, b 1, b 2,... b k of the regression equation: An independent variable with a regression coefficient not significantly different from 0 (P>0.05) can be removed from the regression model (press function key F7 to repeat the logistic regression procedure).
By the way, this is copied from the internet.
Step-by-step explanation:
hope this helps answer is at bottom. :)
Changes made to your input should not affect the solution:
(1): "t0" was replaced by "t^0".
STEP
1
:
dot5
Simplify ————
12
Equation at the end of step
1
:
(dot5)
10000 • ((1 + ——————)60)
12
STEP
2
:
Rewriting the whole as an Equivalent Fraction :
2.1 Adding a fraction to a whole
Rewrite the whole as a fraction using 12 as the denominator :
1 1 • 12
1 = — = ——————
1 12
Equivalent fraction : The fraction thus generated looks different but has the same value as the whole
Common denominator : The equivalent fraction and the other fraction involved in the calculation share the same denominator
Adding fractions that have a common denominator :
2.2 Adding up the two equivalent fractions
Add the two equivalent fractions which now have a common denominator
Combine the numerators together, put the sum or difference over the common denominator then reduce to lowest terms if possible:
12 + dot5 dot5 + 12
————————— = —————————
12 12
Equation at the end of step
2
:
(dot5 + 12)
10000 • (———————————)60)
12
STEP
3
:
3.1 12 = 22•3
(12)60 = (22•3)60 = 2120 • 360
Equation at the end of step
3
:
(dot5 + 12)60
10000 • —————————————
(2120•360)
STEP
4
:
Dividing exponents :
4.1 24 divided by 2120 = 2(4 - 120) = 2(-116) = 1/2116
Final result :
625 • (dot5 + 12)60
———————————————————
(2116•360)
