Answer:
Set of four data pairs with correlation coefficient r= -0.8 reasonable linear regression data set.
Step-by-step explanation:
Linear regression is a primary type of predictive analysis. It describes does a variable does a useful job. Which variable is significant.
Set of nine data pairs with correlation coefficient r = -0.4
Set of five data pairs with correlation coefficient r= 0.3
Set of four data pairs with correlation coefficient r= -0.8
Setoff six data pairs with correlation coefficient r = 0.6
A setoff four data pair with correlation coefficient r = -0.8 is the valid data set.
Because
r = -0.8
r2 = 0.64,
This is very close to 1 as compared to any other data pair.
Hence, Set of four data pairs with correlation coefficient r= -0.8 reasonable linear regression data set.
Answer:
B= 2/9
Step-by-step explanation:
2/9= 0.2 repeating
Hope that helps! Plz mark me as the brainliest!
Answer: 57.14%
Step-by-step explanation:
Because it’s not 4.76% or 10%, and 210% seems drastic. Lemme know if it’s right though.
Answer:
see the attachment
Step-by-step explanation:
The graph attached shows the secant function in red. The restriction to the interval [0, π/2] is highlighted by green dots, and the corresponding inverse function is shown by a green curve.
The restriction to the interval [π/2, π] is highlighted by purple dots, and the corresponding inverse function is shown in purple.
The dashed orange line at y=x is the line over which a function and its inverse are mirror images of each other.
