I clicked by accident to answer this question and don't know how to delete my entry. (sorry)
54*1 = 54
54^1=54 however 54^0=1
Answer:
The expression is:
![(5*6.50)+(3*24)-12=t](https://tex.z-dn.net/?f=%285%2A6.50%29%2B%283%2A24%29-12%3Dt)
The total Bella paid is:
$92.50
Step-by-step explanation:
5 shirts at $6.50 each
3 pairs of pants at $24.00 each
12 dollar discount
Let "t" be the total Bella paid.
![(5*6.50)+(3*24)-12=t](https://tex.z-dn.net/?f=%285%2A6.50%29%2B%283%2A24%29-12%3Dt)
![(32.50)+(3*24)-12=t](https://tex.z-dn.net/?f=%2832.50%29%2B%283%2A24%29-12%3Dt)
![(32.50)+(72)-12=t](https://tex.z-dn.net/?f=%2832.50%29%2B%2872%29-12%3Dt)
![32.50+72-12=t](https://tex.z-dn.net/?f=32.50%2B72-12%3Dt)
![104.5-12=t](https://tex.z-dn.net/?f=104.5-12%3Dt)
![92.5=t](https://tex.z-dn.net/?f=92.5%3Dt)
Mathematically, I don't know, but logically you would get a speeding ticket from a police officer.
Answer: What is the balanced equation for so2 O2 SO3?
2SO2 + O2 → 2SO3.
Step-by-step explanation:
Answer:
The OLS estimator of the slope <em>β</em>₁ is 1.22.
Step-by-step explanation:
The OLS regression equation to estimate the relationship between people's weight (<em>W</em>) and the number of times they eat out in a month (<em>EO</em>) is:
![W=\beta_{0}+\beta_{1} EO_{i}+u_{i}](https://tex.z-dn.net/?f=W%3D%5Cbeta_%7B0%7D%2B%5Cbeta_%7B1%7D%20EO_%7Bi%7D%2Bu_%7Bi%7D)
The information provided is:
![Cov (W, EO)=4.94\\V(EO)=4.04\\E(W)=43.82\\E(EO)=2.46](https://tex.z-dn.net/?f=Cov%20%28W%2C%20EO%29%3D4.94%5C%5CV%28EO%29%3D4.04%5C%5CE%28W%29%3D43.82%5C%5CE%28EO%29%3D2.46)
The formula to compute the OLS estimator of slope coefficient <em>β</em>₁ is:
![\hat \beta_{1}=\frac{Cov(W, EO)}{V(EO)}](https://tex.z-dn.net/?f=%5Chat%20%5Cbeta_%7B1%7D%3D%5Cfrac%7BCov%28W%2C%20EO%29%7D%7BV%28EO%29%7D)
Compute the OLS estimator of slope coefficient <em>β</em>₁ as follows:
![\hat \beta_{1}=\frac{Cov(W, EO)}{V(EO)}=\frac{4.94}{4.04}=1.22277\approx1.22](https://tex.z-dn.net/?f=%5Chat%20%5Cbeta_%7B1%7D%3D%5Cfrac%7BCov%28W%2C%20EO%29%7D%7BV%28EO%29%7D%3D%5Cfrac%7B4.94%7D%7B4.04%7D%3D1.22277%5Capprox1.22)
Thus, the OLS estimator of the slope <em>β</em>₁ is 1.22.