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forsale [732]
2 years ago
15

The number of newly reported crime cases in a county in New York State is shown in the accompanying table, where x represents th

e number of years since 2008, and y represents number of new cases. Write the linear regression equation that represents this set of data, rounding all coefficients to the nearest tenth. Using this equation, estimate the calendar year in which the number of new cases would reach 543

Mathematics
1 answer:
Novay_Z [31]2 years ago
7 0

Answer:

Step-by-step explanation:

I use  84+ CE

stat edit, then fill in the #s

then

vars 5

then

2'nd stat plot, on

then, click stat

Click arrow 1 time to the left to get to Calc

then click (4)(LinReg(ax+b))

then click enter 5 times

(y=-25.31428571x+1000.285714

y=-25.3x+1000.3

now, lets use computer:

y=-25.31(543)+1000.3

y=-12743.03

round to the biggest whole number )

this doesn't really work, so I will put 1999, 2000, 2001, 2002, 2003, 2004 instead of 0, 1, 2, 3, 4, 5 and do the same thing

now I get

y=-25.31428571x+51603.54286

y=-25.3x+51603.5

now, lets use computer:

y=-25.3(543)+51603.5

y=37865.6

round to the biggest whole number:

y=37866

so, year 37866

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Kiley gathered the data in the table. She found the approximate line of best fit to be y = 1.6x – 4. A 2-column table with 5 row
Dimas [21]

Answer:

The residual value is -1.8 when x = 3

Step-by-step explanation:

We are given the following table

x     |    y

0    |   -3

2    |    -1

3    |    -1

5    |    5

6    |    6    

Residual value:

A residual value basically shows the position of a data point with respect to the line of best fit.

The residual value is calculated as,

Residual value = Observed value - Predicted value

Where observed values are already given in the question and the predicted values are calculated by using the equation of  line of best fit.

y = 1.6x - 4

When we substitute x = 3 in the above equation then we would get the predicted value.

y = 1.6x - 4 \\\\y = 1.6(3) - 4 \\\\y = 4.8 - 4 \\\\y = 0.8

So the predicted value is 0.8

From the given table, the observed value corresponding to x = 3 is -1

So the residual value is,

Residual value = Observed value - Predicted value

Residual value = -1 - 0.8

Residual value = -1.8

Therefore, the residual value is -1.8 when x = 3

Note: A residual value closer to 0 is desired which means that the regression line best fits the data.

5 0
2 years ago
Read 2 more answers
Leon needs to save more than $350 to buy a new bike. He has $130 saved so far, and he plans to save $20 each week until he has e
zlopas [31]

He must save for 12 or more weeks.


4 0
2 years ago
Read 2 more answers
Larry has at least 3 more books than Pat. If Pat has 6 books, what do you know about the number of books Larry has?
ryzh [129]

Answer:

Larry has at least 9 books

Step-by-step explanation:

just add 6 and 3 to get 9. and since it says at least 3 more, you would know that even after adding them, he would have at least 9.

That was a bad explanation, but I hope you know what I mean, if you dont, just comment on my answer and ask any questions about it :)

7 0
2 years ago
he ratio table below describes the relationship between grapes and blueberries in a fruit salad. Fruit Salad Grapes (cups) Blueb
scoray [572]
The first thing you should do for this case is to graph the data you have in the statement to see the relationship between grapes and blueberries.
 The function represented by the table is
 y = 0.25x
 Then, as Mandie is making 15 glasses of fruit salad, we have:
 y + x = 15
 We have two equations and two unknowns that we must solve.
 y = 0.25x
 y + x = 15
 Resolving
 For x: 
 0.25x + x = 15
 1.25x = 15
 x = 15 / 1.25 = 12
 For y: 
 y = 0.25x = 0.25 (12) = 3
 Answer
 The ratio of grapes to blueberries she should use is 12: 3
3 0
2 years ago
Read 2 more answers
A study was made of seat belt use among children who were involved in car crashes that caused them to be hospitalized. It was fo
borishaifa [10]

Answer:

a) P(5

And we can find this probability with this difference:

P(-1.90

And using the norma standard distribution or excel we got:

P(-1.90

b) P(X>6) =P(Z> \frac{6-7.37}{1.25}) = P(Z>-1.096)

And using the complement rule we got:

P(Z>-1.096) =1-P(Z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Part a

Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

X \sim N(7.37,1.25)  

Where \mu=7.37 and \sigma=1.25

We are interested on this probability

P(5

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(5

And we can find this probability with this difference:

P(-1.90

And using the norma standard distribution or excel we got:

P(-1.90

Part b

For this case we want this probability:

P(X>6)

And we can use the z score and we got:

P(X>6) =P(Z> \frac{6-7.37}{1.25}) = P(Z>-1.096)

And using the complement rule we got:

P(Z>-1.096) =1-P(Z

8 0
2 years ago
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