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Karo-lina-s [1.5K]
3 years ago
13

Change 5x - 6y =3 into a slope-intercept form.

Mathematics
1 answer:
a_sh-v [17]3 years ago
6 0
The answer is A hope I helped
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Joel wants to buy a new tablet computer from a store having a 20% off sale on all tablets. The tablet he wants has an original c
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Students get a 15% discount off the original prices at the Everything Fluorescent store during its back to school sale. Find the
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The discount is $1.19 unless you have to round up than it is $1.20. in order to solve this problem you would set up a proportion. So your proportion would be x over 7.99 = 15 over 100. Than you would cross multiply. 7.99*15=119.85. and 100*x=100x. than u divided both sides by a 100. than x= 1.19. which 1.19 is the discount. 
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3 years ago
Solve 4^x+2 = 12 for x using the change of base formula log base b of y equals log y over log b.
valentinak56 [21]

The value of x is 1.66

Step-by-step explanation:

Let use revise the rules of exponential and logarithmic equations

1. If y = b^{x}, then log_{b}(y)=x

2. log_{b}(y) = \frac{log(y)}{log(b)}

Use the rules above to solve the problem

∵ 4^{x}+2=12

- Subtract 2 from both sides

∴ 4^{x}=10

change the exponential equation to logarithmic equation

∴ log_{4}(10)=x

∵ log_{4}(10) = \frac{log(10)}{log(4)}

∴ x = \frac{log(10)}{log(4)}

∴ x = 1.66

The value of x is 1.66

Learn more:

You can learn more about logarithmic function in brainly.com/question/10633485

#LearnwithBrainly

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4 years ago
He sum of the f
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Step-by-step explanation: jk its 2343 terms

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3 years ago
As with simple linear regression, we desire the residuals to (select all that apply) have large variance. have constant variance
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As with simple linear regression, we desire the residuals to:

  • Have constant variance.
  • Have a mean close to 0.

<h3>What is a simple linear regression?</h3>

It should be noted that a simple linear regression simply means a model that describes the relationship between a dependent variable and an independent variable.

In this case, as with simple linear regression, we desire the residuals to have constant variance and have a mean close to 0.

Learn more about regression on:

brainly.com/question/25987747

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