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 & Step-by-step explanation:
<em>(x² - 5x)(2x² + x - 3)</em>
Multiply each term from the first expression into the second expression.
<em>2x⁴ + x³ - 3x² - 10x³ - 5x² + 15x</em>
Combine like terms.
<em>2x⁴ - 9x³ - 8x² + 15x</em>
So, after you multiply the expressions, your answer will be 2x⁴-9x³-8x²+15x.
A = 6
b = 9
c = -10
hope this helps you!
Answer:
V≈ 863.27 in³
Step-by-step explanation:
