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Taya2010 [7]
3 years ago
6

PLEASE HELP! 20 POINTS!An equation was created for the line of best fit from the actual enrollment data. It was used to predict

the dance studio enrollment values shown in the
table below:
Month
Enrollment
January February March April May June
Actual 500 400 550 550 750 400
Predicted 410 450 650 650 600 450
Residual 90
-50
-100 -100 150 -50
Analyze the data. Determine whether the equation that produced the predicted values represents a good line of best fit
O No, the equation is not a good fit because the sum of the residuals is a large number
No, the equation is not a good fit because the residuals are all far from zero.
Yes, the equation is a good fit because the residuals are not all far from zero.
Yes, the equation is a good fit because the sum of the residuals is a small number

Mathematics
2 answers:
lakkis [162]3 years ago
3 0

Answer:

B) No, the equation is not a good fit because the residuals are all far from zero.

Step-by-step explanation:

If you add the residuals, you get -60, which is small compared to the scale, but is still far from zero.

MAXImum [283]3 years ago
3 0

Answer:

The answer would be A

Step-by-step explanation:

I took the test :)

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Tyler's cell phone plan costs $350 to start, then there is a $50 charge each month. On the same grid as Han's
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Tyler's cell phone plan will cost 1,550 over the period of two years.

Step-by-step explanation:

$50 * 24 months = 1,200

1,200 + 350 = 1,550

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Find an explicit formula for the geometric sequence <br> −8 ,−40 ,−200 ,−1000,...
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Answer:

This is a geometric sequence since there is a common ratio between each term. In this case, multiplying the previous term in the sequence

Step-by-step explanation:

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3 years ago
An engineer wants to know if the average amount of energy used in his factory per day has changed since last year. The factory u
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Answer:

<em> The calculated value Z = 1.8823 <1.96 at 0.05 level of significance</em>

<em> The average amount of energy used in his factory per day has changed since last year.          </em>

Step-by-step explanation:

<u><em>Step(i):-</em></u>

Given that mean of the Population = 2000 (MWH)

Given that size of the sample 'n' = 400

Given that mean of sample x⁻ = 2040 MWH

Given that the standard deviation = 425 MWH per day

<u><em>Step(ii):-</em></u>

<u><em>Null hypothesis:H₀: μ = 2000 (MWH)</em></u>

<u><em>Alternative Hypothesis:H₁: μ≠ 2000( MWH)</em></u>

<em>Test statistic</em>

<em>                  </em>Z = \frac{x^{-}-mean }{\frac{S.D}{\sqrt{n} } }<em></em>

<em>                 </em>Z = \frac{2040-2000}{\frac{425}{\sqrt{400} } }<em></em>

<em>                Z =  1.8823</em>

<em>The calculated value Z = 1.8823 <1.96 at 0.05 level of significance</em>

<u><em>Final answer:</em></u><em>-</em>

<em> The calculated value Z = 1.8823 <1.96 at 0.05 level of significance</em>

<em> The average amount of energy used in his factory per day has changed since last year.          </em>

3 0
3 years ago
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