A.
Equation set including begin equation begin product of two and c end product plus begin product of six and a end product equals thirty-eight end equation. Begin equation a plus c equals one hundred and forty-eight end equation.
B.
Equation set including begin equation begin product of two and a end product plus begin product of six and c end product equals thirty eight end equation. Begin equation a plus c equals one hundred and forty-eight end equation.
C.
Equation set including begin equation begin product of six and c end product plus begin product of two and a end product equals one hundred and forty-eight end equation. Begin equation c plus a equals thirty-eight end equation.
D.
Equation set including begin equation begin product of two and c end product plus begin product of six and a end product equals one hundred and forty-eight end equation. Begin equation a plus c equals thirty-eight end equation.
b. Do you think it is possible for 15,000 to ride the thrill ride in 1 day? Explain.
Answer: a) The least number of rides needed for 15000 people is 1250.
b) No
Step-by-step explanation:
Since we have given that
Number of people an amusement park holds = 12 people per ride.
Number of people is needed for the least number of rides = 15000
Let the number of rides be 'x'.
a) So, our inequality will be
Hence,the least number of rides needed for 15000 people is 1250.
b) Do you think it is possible for 15,000 to ride the thrill ride in 1 day? Explain.
Since there is 1250 rides, and
If we assume that the amusement park is open for 8 hours.
Then, each ride takes
But each rides takes atleast 5 minutes.
So, it is not possible to ride the thrill ride in 1 day.
According to the question,
Average price,
Increase,
As we know, the formula
→
then,
→
(%)
Thus the response above is appropriate.
Learn more about percentage here:
The residual value is -8
A residual value is the difference between the observed y-value and the predicted y-value( from the regression equation ) .
Here, the given regression equation of the line,
y = 5.2 x +18
Thus, for x = 10, the predicted value of
y = (5.2 × 10) +18
y = 52 + 18
y = 70
Now, by the given question,
For x = 10, the observed value of y = 62,
Hence, the residual for 10 = Observed value of y for 10 - Predicted value of y for 10
= 62 - 70
= -8
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Answer:
The residual for 5 is -1.6
Step-by-step explanation: Hope this helps. Name me brainliest please.
A residual value is the difference between the observed y-value and the predicted y-value( from the regression equation ) .
Here, the given regression equation of the line,
y = 5.2 x - 0.4
Thus, for x = 5, the predicted value of y = 5.2 × 5 - 0.4 = 26.0 - 0.4 = 25.6,
Now, by the given table,
For x = 5, the observed value of y = 24,
Hence, the residual for 5 = Observed value of y for 5 - Predicted value of y for 5
= 24 - 25.6 = - 1.6
⇒ First option is correct.
(32)2 + (−3x)2
(8)2 − (3x)2
(8)2 + (−3x)2
Answer: Third option.
Step-by-step explanation:
By definition, the number 64 and the number 9 are perfect squares.
A perfect square it that number obtained by squaring a whole number.
In this case, 64 is obtained by squaring the number 8 and the number 9 is obtained by the squaring the number 3. Then:
Therefore, you can rewrite the expression as following:
This matches with the third option.