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Vlad [161]
3 years ago
13

A model is an estimate or approximation of a data set. In the real world, there are too many variables to know exactly what will

happen. However, if a model is a good fit, then it can be used to make predictions about what will happen. With a useful model, a predicted value should be a good estimate of an observed value. What did you include in your response? Check all that apply. A model is an estimate of a data set. A useful model can be used to make predictions. Predictions should be a good estimate of what will actually happen.
Mathematics
1 answer:
Ivan3 years ago
6 0

Answer:

A model is an estimate of a data set.

A useful model can be used to make predictions.

Step-by-step explanation:

There are various models used in mathematics which are used to predict variables. The regression model is used to predict the relation between two variables. There are various other models which help to predict the future events and outcome of these events.

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Part A: If (72)x = 1, what is the value of x? Explain your answer. (5 points)
vichka [17]

Answer:

see below

Step-by-step explanation:

Part A:  (72)^x = 1

Take the log base 72 of each side

log72(72^x) = log 72(1)

We know log a^b = b log a

x log72(72) = log72(1)

x =  log72(1)

x = 0

Part A:  (70)^x = 1

Take the log base 70 of each side

log70(70^x) = log70(1)

We know log a^b = b log a

x log70(70) = log70(1)

x =  log70(1)

x = 0

7 0
3 years ago
The solution to 4x + 7 - 9 = -14 is a0.
Alchen [17]

Answer:

Isolate the variable by dividing each side by factors that don't contain the variable.

x  =  − 3

Step-by-step explanation:

4 0
3 years ago
The ability to find a job after graduation is very important to GSU students as it is to the students at most colleges and unive
gtnhenbr [62]

Answer: (0.8468, 0.8764)

Step-by-step explanation:

Formula to find the confidence interval for population proportion is given by :-

\hat{p}\pm z^*\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}

, where \hat{p}  = sample proportion.

z* = Critical value

n= Sample size.

Let p be the true proportion of GSU Juniors who believe that they will, immediately, be employed after graduation.

Given : Sample size = 3597

Number of students  believe that they will find a job immediately after graduation= 3099

Then,  \hat{p}=\dfrac{3099}{3597}\approx0.8616

We know that , Critical value for 99% confidence interval = z*=2.576  (By z-table)

The 99 % confidence interval for the proportion of GSU Juniors who believe that they will, immediately, be employed after graduation will be

0.8616\pm(2.576)\sqrt{\dfrac{0.8616(1-0.8616)}{3597}}

0.8616\pm (2.576)\sqrt{0.0000331513594662}

\approx0.8616\pm0.0148\\\\=(0.8616-0.0148,\ 0.8616+0.0148)=(0.8468,\ 0.8764)

Hence, the 99 % confidence interval for the proportion of GSU Juniors who believe that they will, immediately, be employed after graduation. = (0.8468, 0.8764)

4 0
3 years ago
What is the product of (n - 8)(n + 2)?
Anuta_ua [19.1K]

Answer:

n² - 6n - 16

Step-by-step explanation:

As per the question,

We have been provided the equation

(n-8)(n+2)

To find the product, we have to multiply the both term,

(n - 8) (n + 2)

= n (n + 2) - 8 (n + 2)

= (n² + 2n) - (8n + 16)

= n² + 2n - 8n - 16n

= n² - 6n - 16

Hence, the required answer of the product of (n-8)(n+2) =  n² - 6n - 16.

5 0
3 years ago
Read 2 more answers
A stock has produced returns of 14.5 percent, 4.8 percent, 10.2 percent, and 6.1 percent over the past four years respectively.
Anettt [7]
<span>The geometric average return is the the nth root of the product of the stock returns. So we have nâš r1 * r2 * r3. Where n is the number of returns. So we have 4âš(14.5 * 4.8 * 10.2 * 6 1) This gives us 4âš ( 4330.512) The fourth root of 4330.512 is 8.1121 percent.</span>
3 0
4 years ago
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