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NARA [144]
3 years ago
5

What is ; 1.5×0.32 pls answer this asap​

Mathematics
2 answers:
Zepler [3.9K]3 years ago
5 0

Answer:

0.48

Step-by-step explanation:

Eduardwww [97]3 years ago
3 0

Answer:

0.48

Step-by-step explanation:

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Y=-155. Put in a table of 3 rows.
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51.6666666667

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4 0
3 years ago
The accompanying table shows the number of bacteria present in a certain culture over a 4 hour period, where x is the time, in h
Vlad [161]

Answer:

Step-by-step explanation:

I really hope you know how to use your calculator to find regression equations, because in this forum it is impossible to teach you how to do that. I ran the data through my calculator and got the exponential equation as

y=1963.56(1.14)^x which means at 4 hours, we started with 1963 bacteria and it is growing at a rate of 114% each hour. Since we started out with an x value of 0, and that value represents the number of bacteria after 4 hours, then time 0 is 4 hours, which means that time 12 is 16 hours. We replace the x in the equation with a 12 and do the math:

y=1963.56(1.14)^{12 which gives us, in the end,

y = 9460

4 0
3 years ago
2x+5=12 pleas and thank you :D
Alik [6]
2x+5=12
12-5=2x
2x=7
X=3.5
3 0
2 years ago
Read 2 more answers
Questions attached below ( *︾▽︾) Thanks for the help :)
german

Answer:

See below

Step-by-step explanation:

Attachment 1 : (a) Remember that it mentions x is the years since 1900. That would mean that the table is a bit different. To create this " new table " simply subtract 1900 from the years provided, and substitute.

To create this equation we will need a regression calculator. The equation will be as follows.

y = 0.125873x - 7.11916 ( note that you can double check this equation be substituting points from the table in the attachment )

(b) 2025 - 1900 = 126 years,

y = 0.125873(125) - 7.11916 = $ 8.614965

Minimum Wage : $ 8.614965

Attachment 2 : The rest of the problems can be solved similarly...

(a) Quadratic Regression Equation : - 0.49311x² + 23.2798x + 996.029

(b) - 0.49311(20)² + 23.2798(20) + 996.029 = 1264.381 mg/cm³

Attachment 3 : (a) Exponential Regression : 9.08292(1.09965)ˣ

(b) 9.08292(1.09965)⁶⁰ = 2713.27743\dots ( About 2713 recommendations )

8 0
3 years ago
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