Step-by-step explanation:
X1 = 1
X2 = (X1) 2 - X1
X2 = 2 - 1
X2 = 1. implies that the second term of the sequence is 1.
Line of best fit also known as a linear regression or a trend line, the line of best fit is common tool for showing how two variables are related.This can be established by:
Positive correlation
all scatter plots
negative correlation
Line of best fit is used in order to demonstrate any observed trends in order to predict future outcomes regarding the data point variable in use.
Answer:
f(x)
Step-by-step explanation:
the function f(x) crosses the y-axis higher than either of the other functions, therefore it has the largest y-intercept
Answer:
p=7
Step-by-step explanation:
4p+5=33
33-5=28
4p=28
28/4=7
p=7
4(7)+5=33
28+5=33