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Leona [35]
3 years ago
10

Help me answer????????????????

Mathematics
1 answer:
tigry1 [53]3 years ago
8 0

Answer:

too long, sorry got my own work to do :|

Step-by-step explanation:

You might be interested in
Dulari, a single, member of the military was stationed at Camp Pendleton California on July 1, 2020, Her Henri company transferr
galina1969 [7]

Dulari can deduct $3050 as moving expenses for her 2020 return

Pre-housing cost = $1475

Cost of the moving furniture = $2500

Cost of moving personal belongings = $3475

Total cost incurred while at Washington DC = $1475 + $2500  +  $3475

Total cost incurred = $7450

AGI for 8 years = $84500

AGI for 1 year = $84000/8

AGI for 1 year = $10500

Since Dulari already spent $7450 trying to settle in Washington, she will spend ($10500 - $7450) as moving expenses for her return

$10500 - $7450  =  $3050

Dulari can deduct $3050 as moving expenses for her 2020 return

Learn more here: brainly.com/question/3061964

7 0
3 years ago
Is it possible to divide 15 by a mixed number and get a quotient greater than 15
strojnjashka [21]
Yes you can it is possible
4 0
3 years ago
Help me please with an explanation/work, thank you!!
kiruha [24]

Answer:

1. 3

Step-by-step explanation:

8 0
3 years ago
I'm really struggling with this question. Please help!
gavmur [86]
I got 23 u might want to check it tho
3 0
4 years ago
A random sample of 11 university students produced the following data, where x is the minutes spent studying per day, and y is t
SIZIF [17.4K]

Answer:

16.373,16.4

Step-by-step explanation:

Given that a  random sample of 11 university students produced the following data, where x is the minutes spent studying per day, and y is the first exam score (out of a maximum of 100 points).

x y

11 39

13 55

14 43

17 46

19 69

22 75

24 77

25 78

28 77

31 93

34 92 Observations 11        

       

ANOVA        

df SS MS F Significance F    

Regression 1 3214.095153 3214.095153 69.46052448 1.59367E-05    

Residual 9 416.4503017 46.27225574      

Total 10 3630.545455      

       

Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%

Intercept 16.37281677 6.48384963 2.525169105 0.0324919 1.705329914 31.04030362 1.705329914 31.04030362

x 2.369323595 0.28428592 8.33429808 1.59367E-05 1.726224167 3.012423023 1.726224167 3.012423023

We get regression line as y =2.369x+16.373

a) value of intercept = 16.373

b) 16.4

8 0
3 years ago
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