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bearhunter [10]
3 years ago
14

Find the possible values for s in the inequality 12s – 20 ≤ 50 – 3s – 25.        A. s ≤ 9   B. s ≤ 3   C. s ≤ 1/3   D. s ≤ 5/9  

Mathematics
1 answer:
Kitty [74]3 years ago
7 0
The answer wil be B.
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What type of graph would you use for a set of categorical data with 25 people surveyed?bar graphline graphpictographstem-and-lea
Inga [223]

The type of graph I would use for a set of categorical data with 25 people surveyed is bar graph.

<h3>Which types of graphs are good for categorical data?</h3>

The type of graph or chart that is good for showing  categorical data are:

  • Frequency tables
  • Pie charts
  • Bar charts

Note that bar graph is one of the  the most appropriate graphical form of displays for any categorical variables.

Learn more about bar graph from

brainly.com/question/24741444

6 0
1 year ago
Write the equations included in the same set of related facts as 6×8 =48
choli [55]
I dont think this is right but (2x3)x(2x4)=48 sorry i dont think that was right
8 0
3 years ago
Read 2 more answers
How to solve this problem
shepuryov [24]
I cant tell if this is french or spanish but please translate so we can try to help you
3 0
2 years ago
Given f(x)=2x and g(x)=x2+3, find (g°f)(-3)
Tomtit [17]

Answer:

See attached image

Step-by-step explanation:

See attached image

4 0
1 year ago
PLZ ANSWER ASAP!!!!! Part B
bazaltina [42]

The equation of the linear regression  is \^ y = 3.58125\^x + 202.575

<h3>Graphing tool</h3>

To determine the line of best fit, we make use of a graphing tool

See attachment for the graph of the line of best fit

<h3>The equation</h3>

From the graphing tool, we have the following calculation summary

  • Sum of X = 440
  • Sum of Y = 3601.5
  • Mean X = 44
  • Mean Y = 360.15
  • Sum of squares (SSX) = 1440
  • Sum of products (SP) = 5157

The regression Equation is then represented as:

\^y = b\^x + a

Where:

b = \frac{SP}{SSX} and a = \bar y - b \times \bar x

b = \frac{5157}{1440}

b = 3.58125

Also, we have:

a = \bar y - b \times \bar x

a= 360.15 - (3.58\times 44)

a = 202.575

So, the linear regression equation is:

\^ y = 3.58125\^x + 202.575

Read more about linear regression at:

brainly.com/question/17844286

4 0
2 years ago
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