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
The model given is:

The term in the parentheses represents the change of rate of the model. If the number is the parentheses is less than 1, we call it <em>exponential decay</em>.
If the number in parentheses is bigger than 1, we call it exponential growth.
In this case, the correct option is "decaying"
The number in parentheses let's call it R, is:

Where r is the rate of change. To find it:

To convert to percentage, we convert by multiplying by 100::

The second answer is 0.45%
And since t is the time passed in hours, and has a "60" multiplying it, the last answer is: Every 60 hours
<em>The final answer is:</em>
The function is exponentially decaying at a rate of 0.45% evary 60 hours.
Answer: -1.375 < -1
Step-by-step explanation:
the sum of supplementary angles is 180 degree
therefore
x +2x = 180°
3x = 180
X = 180/3 = 60°
the value of X is 60°
Answer:
7 and -7
Step-by-step explanation: