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Ilia_Sergeevich [38]
3 years ago
8

2. (- 6x + 3) + (x - 7)​

Mathematics
2 answers:
irina1246 [14]3 years ago
6 0

Answer:

-6x^2+45x-21

Step-by-step explanation:

So use the FOIL method

First- -6x*x

Outter- -6x*-7

Inner- 3*x

last- 3*-7

liq [111]3 years ago
5 0

Answer:

-5x-4

Step-by-step explanation:

You first have to combine like terms. (-6x + x) + (+3 -7) = -5x-4

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You use a line of best fit for a set of data to make a prediction about an unknown value. The correlation coefficient for your d
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Answer:

With a correlation coefficient of 0.109 you can not be confident at all; this is about as close to a random guess you could get.  

Step-by-step explanation:

Lines of best fit are used to try to make a correlation (relationship) about data that will either be positive (uphill), negative (downhill) or no correlation (points are scattered).  Correlation coefficients based off of a line of best fit will fall between -1 and +1 where -1 would represent a perfect negative relationship and +1 would represent a perfect positive relationship.  A correlation coefficient of 0 would indicate that there is no relationship.  So, if your data shows a correlation coefficient of 0.109, which is closest to 0 on a number line, then you can't be sure that your data has a very close relationship.


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Question 3. Y=(1/5)^xSketch the graph of each of the exponential functions and label three points on each graph.
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Given exponential function:

y\text{ = (}\frac{1}{5})^x

Let us obtain three points including the y-intercept so that we can plot the function y = f(x)

When x =0:

\begin{gathered} y\text{ = (}\frac{1}{5})^0 \\ =\text{ 1} \end{gathered}

when x =1:

\begin{gathered} y\text{ = (}\frac{1}{5})^1 \\ =\text{ }\frac{1}{5} \end{gathered}

when x =2:

\begin{gathered} y\text{ = (}\frac{1}{5})^2 \\ =\text{ }\frac{1}{25} \end{gathered}

We have the points : (0, 1), (1, 1/5), and (2, 1/25)

Using these points, let us provide a sketch of the plot of y =f(x). We have the plot as shown below:

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What is the volume of this rectangular prism?
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