Answer:
20
Step-by-step explanation:
it is the same length as DC just going diagonal.
(i am not good at explaining in case you could not tell)
Answer: 40
Step-by-step explanation:
maybe
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
You’re going to be adding by .05
so the first one would be 5.86 and the second one would be 6.01
hopefully this helps!
The answer is going abc tam
