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:
7 billion but it's getting close to 8 billion
Step-by-step explanation:
Answer:
m∠1 = 50°, m∠2 = 90°, m∠3 = 40°, and m∠4 = 50°
Step-by-step explanation:
Angles on straight line are equal;
Vertical angles are equal,
Complementary angles add up to 90°.
Angles on straight line adds up to 180°
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