Answer: a = -5
Step-by-step explanation:
2(a+3)=-4
Distribute
2a+6=-4
subtract the six with the four and you get -10
-6-4=-10
now divide 2a with -10
you get a= -5
you can plug the answer in
Answer:
Step-by-step explanation:
The slope and the y intercept (you can tell there linear if the slope is the same and the y-intercepts are different).
Answer:
We know that C is the total number of cans in a complete case.
Victoria counts:
16 full cases, so in those we have: 16*C cans.
4 cases with 5 missing cans, so in those we have:
Then if each case has C cans, the cases that are missing 5 cans have:
C - 5 cans.
Then in those four cases we have a total of: 4*(C - 5) cans.
And Victoria knows that there are 220 cans, then we have that:
16*C + 4*(C - 5) = 220
16*C + 4*C - 20 = 220
16*C + 4*C = 220 + 20 = 240
20*C = 240
C = 240/20 = 12
Then each case has 12 cans.
Then the number of cans in the cases with missing cans is:
12 cans - 5 cans = 7 cans.
Step-by-step explanation:
Hope this helps!!!!!!!! :D
company A :
30,000 + 0.03(37499) = 31124.97...sales less then 37500
30,000 + 0.03(37501) = 31125.03....sales exceed 37500
30,000 + 0.03(249000) = 37470 ...sales less then 250000
30,000 + 0.03(251000) = 37530....sales exceed 250000
company B :
25,000 + 0.05(37499) = 26874.95...sales less then 37500
25,000 + 0.05(37501) = 26875.05...sales exceed 37500
25000 + 0.05(249000) = 37450...sales less then 250000
25,000 + 0.05(251000) = 37550...sales exceed 250000
so i believe your answer is option b,
company A pays better when sales are less then 250,000, but company B pays better when sales exceed 250,000 <==
The correlation coefficient is -0.87; strong correlation
<h3>How to determine the correlation coefficient?</h3>
The given parameters are:
x = Time spent working out
y = lbs Overweight
Next, we enter the table of values in a graphing tool.
From the graphing tool, we have the following summary:
<u>X Values</u>
- ∑ = 27.1
- Mean = 2.71
- ∑(X - Mx)2 = SSx = 22.569
<u>Y Values</u>
- ∑ = 89
- Mean = 8.9
- ∑(Y - My)2 = SSy = 778.9
<u>X and Y Combined</u>
- N = 10
- ∑(X - Mx)(Y - My) = -114.19
<u>R Calculation</u>
r = ∑((X - My)(Y - Mx)) / √((SSx)(SSy))
r = -114.19 / √((22.569)(778.9))
r = -0.8613
Approximate
r = -0.87
This means that the correlation coefficient is -0.87
Also, the correlation coefficient is a strong correlation, because it is closer to -1 than it is to 0
Read more about correlation coefficient at:
brainly.com/question/27226153
#SPJ1
