We assume data and prediction as question is incomplete
Answer and Step-by-step explanation:
Least squares regression line equations are used to model the relationship that exists between two variables, dependent and independent variables. The equation has the form y=a+bx where y is the dependent variable and x is independent variable, a is a constant and is the y intercept and b is the slope of the line. This relationship is then used to predict future outcomes.
Given that data for 2004-2005 for the basketball players are :
James- 20 points
John- 30 points
Chris- 50 points
Dave-15 points
Donaldson- 32 points
Richard -40 points
We predict the scores/points for James (for example) for the following year using the equation of the regression line y=0.79x+1544
We substitute his points x=20 I'm the equation:
Y=0.79*20+1544
=1599.8
The predicted value is 1599.8
Answer:
b
Step-by-step explanation:
Answer:
a=1 is the answer
Step-by-step explanation:
let
p(x)=x³-2ax²+16
put x= -2
p(-2)=(-2)³-2a(-2)²+16
p(-2)=-8+16-8a
p(-2)=8-8a
as (x+2) is a factor of p(x) then p(x) is equal to zero
8-8a=0
8=8a
a=1
i hope this will help you
Answer:
PS=5.4
Step-by-step explanation:
The centroid divides each median in the ratio 2:1
If U is the centroid, then
We use ratio to obtain;
Cross multiply;
Expand;
Group similar terms;
x=1
PS=PU+US
PS=3.6+1+0.8
PS=3.6+1+0.8
PS=5.4
Answer:
12
Step-by-step explanation:
AC = AB + BC
Since we know what each variable equals, we can write out the equation as shown:
52 = 8X + 8 + 2X + 4
Combining like terms:
52 = 10X + 12
Subtract 12 from both sides:
40 = 10X
Divide by 10:
X = 4
Now that we know X, we can figure out BC
BC = 2(4) + 4
BC = 8 + 4
BC = 12
Therefore BC is 12.
