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inysia [295]
4 years ago
6

Please asap!!!!!!!!!!

Mathematics
1 answer:
irga5000 [103]4 years ago
8 0

Answer:

I bellieve it is 107sq. ft.

Step-by-step explanation:

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Summer has an offer to buy an item with a sticker price of $13,200 by paying $460 a month for 36 months. What interest rate is S
AysviL [449]

Answer:

the annual interest rate is 7.583%

Step-by-step explanation:

We are given

Summer has an offer to buy an item with a sticker price of $13,200

so, we have

P=13200

paying $460 a month for 36 months

so, we can find total amount

A=460\times 36

A=16560

Let's assume

annual interest is r

total time =36 months

so, total number of years =3

Since, it is compounded monthly

so, n=12

now, we can use formula

A=P(1+\frac{r}{n} )^{nt}

now, we can plug values

16560=13200(1+\frac{r}{12} )^{36}

now, we can solve solve for r

(1+\frac{r}{12} )^{36}=\frac{16560}{13200}

r=0.07583

So, the annual interest rate is 7.583%

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3 years ago
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41 Sam has traveled 800 miles in 1.5 days. How
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8 0
3 years ago
You are given the following data, where X1 (final percentage in history class) and X2 (number of absences) are used to predict Y
vaieri [72.5K]

Answer:

Step-by-step explanation:

Hello!

Given the variables

Y: standardized history test score in third grade.

X₁: final percentage in history class.

X₂: number of absences per student.

<em>Determine the following multiple regression values.</em>

I've estimated the multiple regression equation using statistics software:

^Y= a + b₁X₁ + b₂X₂

a= 118.68

b₁= 3.61

b₂= -3.61

^Y= 118.68 + 3.61X₁ - 3.61X₂

ANOVA Regression model:

Sum of Square:

SS regression: 25653.86

SS Total: 36819.23

F-ratio: 11.49

p-value: 0.0026

Se²= MMError= 1116.54

Hypothesis for the number of absences:

H₀: β₂=0

H₁: β₂≠0

Assuming α:0.05

p-value: 0.4645

The p-value is greater than the significance level, the decision is to not reject the null hypothesis. Then at 5% significance level, there is no evidence to reject the null hypothesis. You can conclude that there is no modification of the test score every time the number of absences increases one unit.

I hope this helps!

5 0
4 years ago
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