Answer:
- 0.964
Step-by-step explanation:
Given that Coefficient of determination (R^2) = 0.93
Slope of regression line = - 5.26
The linear correlation Coefficient =?
The Coefficient of determination (R^2) is used to obtain the proportion of explained variance of the regression line. It is the square of the linear correlation Coefficient (R).
Hence. To obtain the linear correlation Coefficient (R) from the Coefficient of determination (R^2); we take the square root of R^2
Therefore,
R = √R^2
R = √0.93
R = 0.9643650
R = 0.964
However, since the value of the slope is negative, this depicts a negative relationship between the variables, hence R will also be negative ;
Therefore, R = - 0.964
Answer:
A. -5+7=2
Step-by-step explanation:
Alright, so to simplify we would take the largest number that would go into both 16 and 32 and divide both numbers by that. Do you know what that would be?
Answer:
t = 1
Step-by-step explanation:
16 - 2t = t + 9 + 4t; move numbers and t's
-16 -16 ; subtract 16 from both sides
-2t = 5t -7 ; subtract -5t from both sides
-5t -5t
--------------
-7t = -7 ; divide by -7
t = 1
Answer:
B (2,8)
Step-by-step explanation:
