Answer:
A. linear
Step-by-step explanation:
A linear model is the best-fitting regression model for the data plot because for similar variations in x values, the variation in y values are also similar, that is, if you take points (x1, y1), (x2, y2) and (x3, y3) the y1 - y2 is similar to y2 - y3, when x2 - x1 is also similar to x3 - x2.
The centre of this circle is at 12
1
2
and has radius 12
1
2
, so the equation is (−12)2+2=12
(
x
−
1
2
)
2
+
y
2
=
1
2
.
Answer:
1050, 1200, 2550 and 5100.
Step-by-step explanation:
If the first number is x then the second is x + 1/7x.
The third = x + x + 1/7x + 300 and the fourth = x + x + 1/7x + x + x + 1/7x+ 300 + 300.
So our equation is:-
8x + 4 * 1/7x + 900 = 9900
60/7 = 9000
60x = 7*9000
x = 1050.
Therefore the 4 numbers are 1050, *1/7*1050 = 1200, 2550 and 5100.
Answer:
a) The symbol for sample standard deviation is S
b) The symbol for population standard deviation is б (sigma)
c) The symbol for sample variance
d)The symbol for population variance is
Step-by-step explanation:
Step 1:-
Population:- Population consists of the total of the observations with which we are concerned.
Parameters:- The statistical constants of the population namely mean , variance and standard deviation 'б '
Sample:- A sample is a subset of a Population
statistics:-
he statistical constants of the sample namely mean , variance and standard deviation 'S '
step2:-
a) The symbol for sample standard deviation is S
b) The symbol for population standard deviation is б (sigma)
c) The symbol for sample variance
d)The symbol for population variance is
To find the population density we need to divide population by area then live on:
The given number live in a circular place. Area is given by formula:
Where r is radius
Now we have:
The population density is 5747.26 people per square mile.