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:
89954
Step-by-step explanation:
Sorry. I wish i could show my work, but I can upload my picture work. I will post that here when my computer is working again.
I’m sorry bc I don’t know how to solve all of them but
#5 is C
#3, the equation is y=4
#4, the equation is x=-6
Can you please state the questions / problems or attach the image with the questions / problems so that we can answer it for you.
If y = 2x, then y/x = 2. The constant of proportionality is 2.
