Respuesta :
Answer:
Part a
The regression equation is, [tex]\hat y = 29.3877 - 0.9596x[/tex]
Part b
The number of crimes for a city at 20 police officers was appointed is approximately 10.
Step-by-step explanation:
x y xy x² y²
15 17 255 225 289
17 7 119 289 49
17 13 221 289 169
12 21 252 144 441
25 5 125 625 25
11 19 209 121 361
27 7 189 729 49
22 6 132 484 36
146 95 502 2906 1419
Therefore,
[tex]\hat B_1=\frac{n \sum xy - (\sum x) (\sum y)}{n (\sum x^2) - (\sum x)^2}[/tex]
[tex]= \frac{8(1502) - (146)(95)}{8(2906)-(146)^2} \\\\= \frac{-1854}{1932} \\\\= - 0.9596[/tex]
The calculation of the intercept coefficient is as follows:
[tex]\hat B_0= \frac{\sum y }{n} - \hat B_1 (\frac{\sum x}{n} )[/tex]
[tex]= \frac{95}{8} - (-0.9596)(\frac{146}{8} )\\\\= 11.875 + 17.5127\\\\= 29.3877[/tex]
The regression equation is, [tex]\hat y = 29.3877 - 0.9596x[/tex]
b)
The calculation is as follows:
[tex]\hat y= 29.3877 - 0.9596x\\\\= 29.3877-0.9596(20)\\\\=29.3877-19.1920\\\\=10.1957[/tex]
≅ 10
The number of crimes for a city at 20 police officers was appointed is approximately 10.
The number of crimes for a city at 20 police officers was appointed is approximately 10.
That is, the number of polices increases then the number of crimes will be decreases.
Using technology such as Excel or linear regression calculator, the regression equation and predicted number of crimes for a city with 20 police officers are :
- Ŷ = - 0.5169X + 20.6631
- Predicted number of crimes = 10
From the data given:
City police (X) : 15, 17, 25, 27, 7, 12, 11, 22
Number of crimes (Y) : 17, 13, 5, 7, 7, 21, 19, 6
Using a regression calculator, the linear regression equation which models the data is ;
- Ŷ = - 0.5169X + 20.6631
B.)
The number of crimes for a city with 20 police officers can be calculated thus :
- X = 20
Substitute the value of X into the equation
Ŷ = -0.5169(20) + 20.6631
Ŷ = 10.3251
Hence, the predicted number of crimes for a city with 20 police officers is 10.
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