Answer:
Step-by-step explanation:
This is a 30°-60°-90° right triangle.
AC is hypotenuse, AB is opposite side to 30° angle.
We know that in such a triangle the side opposite to 30° angle is half the hypotenuse.
<u>So we have:</u>
Answer:
. The sales manager gathered information on the numbers of sales calls made and the number of copiers sold for a random sample of sales representative. Is there a positive correlation between calls made and copiers? Test at the 0.05 level of significance. Determine the 90% prediction interval for 60 number of calls made. * Calls, X Sold. Y 20 40 20 50 40 60 50 90 40 80 20 40 40 60 30 60
Answer:
84 different lineups are possible
Step-by-step explanation:
The order in which the songs are chosen is not important. So we use the combinations formula to solve this question.
Combinations formula:
is the number of different combinations of x objects from a set of n elements, given by the following formula.
In this question:
6 musics from a set of 9. So
84 different lineups are possible
Answer:
a =
b= 4
Step-by-step explanation:
It's a 30-60-90 triangle based on the given picture. A right triangle too
Use sine, cosine, and tangent to solve for the side.
To find b, you can use sin(30) = b/8 because sin(angle) = opposite/hypotenuse.
OR you can use the rule for 30-60-90 triangle, which is x for short leg, 2x for hypotenuse, and for long leg
So either way, b = 4
To find a, you can use cos(30) = a/8 because cos(angle) = adjacent/hypotenuse.
OR you can use the same rule, 30-60-90 triangle to save time
a will end up =
Answer:
A. .
Step-by-step explanation:
We are given that,
x = Number of days where 1 = Sun of 1st week and 7 = Sat of first week.
The corresponding table for the data is given by,
Days Day Number Number of Customers
Sun 1 115
Mon 2 77
Tue 3 60
Wed 4 51
Thur 5 68
Fri 6 86
Sat 7 120
The general form of the regression model is .
Using the sinusoidal regression calculator, we get that,
a = 33.690
b = 0.887
c = 1.337
d = 81.684
That is, the sine regression model is .
Thus, option A is the sine regression model for the given data.