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lukranit [14]
3 years ago
8

Suppose a least squares regression line is given by y= 4.302x - 3.293. What is the mean value of the response variable if x = 20

?
Mathematics
1 answer:
Iteru [2.4K]3 years ago
6 0

Answer:

i think this is the answer

Step-by-step explanation:

4.302(20) - 3.293 = 82.747

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A racquetball club charges $10 for a one-month trial membership. After the trail month, the regular membership fee is $12 per mo
Furkat [3]
Membership is discounted $2 for first month
c=cost of one month
d=discount=$2
x=# of months
xc - 2= total cost
x for 1 month is 1, c is always 12, -2 is constant
1 x(12) - 2=10 for first month
8 months
8c -2=total cost for 8 months
8 x 12 - 2= 94 for 8 months

5 0
3 years ago
Write the product form of 3 a² b ³<br>​
kifflom [539]

Answer:

a³-b³= (a-b)(a²+ab+ b²)

Step-by-step explanation:

3 0
2 years ago
Solve 5x3/4 as a mixed number, plz
lana [24]
Multiply straight across
5/1 * 3/4 = 15/4
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4 0
3 years ago
Property taxes are based on an assessed value of $132,000 and the tax rate is 8.5 mills. The property closes on Jun 14. On a bas
defon

Answer:

$132,000 X .0085 = $1,122 / 360 = $3.1166 X 164 = $511.13

One mill is one dollar per $1,000 dollars of assessed value.

In our case 8.5 mills equivalent to 0.0085.

So to get the assessed value for one day

we will get

$132,000 X .0085 = $1,122 / 360 = $3.1166

Now we have the value for one day,

For June 14, we will calculate the days from January 1st to date

total days are 164.  i.e. 5*30+14 = 164

Finally, the seller owes

$3.1166 * 164 = 511.13

6 0
3 years ago
The computer center at Rockbottom University has been experiencing computer downtime. Let us assume that the trials of an associ
Vinvika [58]

Answer:

The probability of the system being down in the next hour of operation is 0.3.

Step-by-step explanation:

We have a transition matrix from one period to the next (one hour) that can be written as:

T=\left[\begin{array}{ccc}&R&D\\R&0.7&0.3\\D&0.2&0.8\end{array}\right]

We can represent the state that system is initially running with the vector:

S_0=\left[\begin{array}{cc}1&0\end{array}\right]

The probabilties of the states in the next period can be calculated using the matrix product of the actual state and the transition matrix:

S_1=S_0\cdot T

That is:

S_1=S_0\cdot T= \left[\begin{array}{cc}1&0\end{array}\right]\cdot \left[\begin{array}{cc}0.7&0.3\\0.2&0.8\end{array}\right]= \left[\begin{array}{cc}0.7&0.3\end{array}\right]

With the inital state as running, we have a probabilty of 0.7 that the system will be running in the next hour and a probability of 0.3 that it will be down.

7 0
3 years ago
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